Last updated on 2024-09-27 11:51:06 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0.0 | 11.27 | 174.20 | 185.47 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.0.0 | 7.54 | 124.15 | 131.69 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 1.0.0 | 307.41 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 1.0.0 | 291.58 | ERROR | |||
| r-devel-windows-x86_64 | 1.0.0 | 12.00 | 279.00 | 291.00 | NOTE | |
| r-patched-linux-x86_64 | 1.0.0 | 10.27 | 162.50 | 172.77 | OK | |
| r-release-linux-x86_64 | 1.0.0 | 9.74 | 163.63 | 173.37 | OK | |
| r-release-macos-arm64 | 1.0.0 | 88.00 | OK | |||
| r-release-macos-x86_64 | 1.0.0 | 174.00 | WARN | |||
| r-release-windows-x86_64 | 1.0.0 | 12.00 | 277.00 | 289.00 | OK | |
| r-oldrel-macos-arm64 | 1.0.0 | 103.00 | OK | |||
| r-oldrel-macos-x86_64 | 1.0.0 | 152.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.0.0 | 15.00 | 293.00 | 308.00 | OK |
Version: 1.0.0
Check: Rd cross-references
Result: NOTE
Found the following Rd file(s) with Rd \link{} targets missing package
anchors:
fic.survreg.Rd: survreg
Please provide package anchors for all Rd \link{} targets not in the
package itself and the base packages.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64
Version: 1.0.0
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘numDeriv’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 1.0.0
Check: examples
Result: ERROR
Running examples in ‘fic-Ex.R’ failed
The error most likely occurred in:
> ### Name: fic.msm
> ### Title: Focused information criteria for multi-state models for panel
> ### data
> ### Aliases: fic.msm
>
> ### ** Examples
>
>
> ## Covariate selection in psoriatic arthritis model.
> ## See the "fic" package vignette on multi-state models for
> ## more details and examples.
>
> if (requireNamespace("msm",quietly=TRUE)){
+
+ Qind <- rbind(c(0, 1, 0, 0),
+ c(0, 0, 1, 0),
+ c(0, 0, 0, 1),
+ c(0, 0, 0, 0))
+ psor.wide.msm <- msm::msm(state ~ months, subject=ptnum, data=msm::psor,
+ qmatrix = Qind, gen.inits=TRUE,
+ covariates = ~ollwsdrt+hieffusn)
+ inds <- rbind(
+ c(1,1,1,0,0,0,0,0,0),
+ c(1,1,1,0,0,0,0,0,1),
+ c(1,1,1,0,0,0,0,1,1),
+ c(1,1,1,0,0,0,1,1,1),
+ c(1,1,1,0,0,1,1,1,1),
+ c(1,1,1,0,1,1,1,1,1),
+ c(1,1,1,1,1,1,1,1,1)
+ )
+ focus_tlos <- function(par){
+ x.new <- msm::updatepars.msm(psor.wide.msm, par)
+ msm::totlos.msm(x.new, covariates=0, tot=10)["State 4"]
+ }
+ fres <- fic(wide=psor.wide.msm, inds=inds, focus=focus_tlos)
+ fres
+
+ }
*** caught segfault ***
address 0x1, cause 'memory not mapped'
Traceback:
1: Ccall.msm(params, do.what = "lik", ...)
2: fn(par, ...)
3: (function (par) fn(par, ...))(c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0))
4: optim(method = "BFGS", control = list(), par = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), fn = function (params, ...) { assign("nliks", get("nliks", msm.globals) + 1, envir = msm.globals) args <- list(...) w <- args$msmdata$subject.weights if (!is.null(w)) { lik <- Ccall.msm(params, do.what = "lik.subj", ...) sum(w * lik) } else Ccall.msm(params, do.what = "lik", ...)}, hessian = TRUE, gr = function (params, ...) { w <- list(...)$msmdata$subject.weights if (!is.null(w)) { deriv <- Ccall.msm(params, do.what = "deriv.subj", ...) apply(w * deriv, 2, sum) } else Ccall.msm(params, do.what = "deriv", ...)}, msmdata = list(mf = list(ollwsdrt = c(1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 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1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 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146L, 148L, 148L, 148L, 148L, 150L, 150L, 150L, 150L, 150L, 157L, 157L, 158L, 158L, 160L, 160L, 162L, 162L, 165L, 165L, 166L, 166L, 166L, 166L, 169L, 169L, 169L, 169L, 172L, 172L, 173L, 173L, 174L, 174L, 176L, 176L, 178L, 178L, 180L, 180L, 181L, 181L, 184L, 184L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 188L, 188L, 188L, 188L, 190L, 190L, 190L, 190L, 192L, 192L, 192L, 192L, 192L, 192L, 194L, 194L, 195L, 195L, 196L, 196L, 196L, 197L, 197L, 197L, 198L, 198L, 199L, 199L, 199L, 199L, 201L, 201L, 202L, 202L, 204L, 204L, 204L, 204L, 204L, 206L, 206L, 208L, 208L, 210L, 210L, 211L, 211L, 212L, 212L, 214L, 214L, 216L, 216L, 219L, 219L, 219L, 219L, 220L, 220L, 221L, 221L, 221L, 221L, 222L, 222L, 222L, 222L, 222L, 222L, 224L, 224L, 225L, 225L, 227L, 227L, 228L, 228L, 228L, 228L, 229L, 229L, 229L, 229L, 230L, 230L, 230L, 231L, 231L, 231L, 231L, 232L, 232L, 232L, 234L, 234L, 235L, 235L, 237L, 237L, 238L, 238L, 239L, 239L, 240L, 240L, 241L, 241L, 241L, 244L, 244L, 246L, 246L, 246L, 246L, 248L, 248L, 249L, 249L, 249L, 249L, 250L, 250L, 251L, 251L, 253L, 253L, 255L, 255L, 256L, 256L, 257L, 257L, 259L, 259L, 260L, 260L, 260L, 260L, 260L, 262L, 262L, 263L, 263L, 263L, 264L, 264L, 268L, 268L, 268L, 268L, 268L, 268L, 269L, 269L, 272L, 272L, 273L, 273L, 275L, 275L, 276L, 276L, 277L, 277L, 277L, 277L, 277L, 278L, 278L, 282L, 282L, 285L, 285L, 287L, 287L, 288L, 288L, 289L, 289L, 291L, 291L, 291L, 294L, 294L, 295L, 295L, 297L, 297L, 297L, 298L, 298L, 298L, 303L, 303L, 304L, 304L, 305L, 305L, 305L, 306L, 306L, 306L, 307L, 307L, 308L, 308L, 308L, 308L, 309L, 309L, 310L, 310L, 311L, 311L, 312L, 312L, 313L, 313L, 313L, 313L, 318L, 318L, 319L, 319L, 321L, 321L, 321L, 323L, 323L, 324L, 324L, 324L, 325L, 325L, 327L, 327L, 327L, 327L, 327L, 328L, 328L, 328L, 328L, 330L, 330L, 331L, 331L, 331L, 333L, 333L, 334L, 334L, 335L, 335L, 335L, 336L, 336L, 337L, 337L, 339L, 339L, 339L, 340L, 340L, 341L, 341L, 341L, 341L, 342L, 342L, 344L, 344L, 344L, 346L, 346L, 346L, 348L, 348L, 348L, 348L, 349L, 349L, 352L, 352L, 354L, 354L, 355L, 355L, 358L, 358L, 358L, 360L, 360L, 361L, 361L, 362L, 362L, 362L, 362L, 364L, 364L, 365L, 365L, 365L, 365L, 366L, 366L, 366L, 366L, 367L, 367L, 368L, 368L, 370L, 370L, 377L, 377L, 377L, 377L, 378L, 378L, 379L, 379L, 380L, 380L, 380L, 381L, 381L, 382L, 382L, 384L, 384L, 385L, 385L, 387L, 387L, 387L, 387L, 389L, 389L, 390L, 390L, 391L, 391L, 392L, 392L, 393L, 393L, 394L, 394L, 395L, 395L, 396L, 396L, 397L, 397L, 398L, 398L, 398L, 398L, 399L, 399L, 400L, 400L, 401L, 401L, 401L, 403L, 403L, 404L, 404L, 406L, 406L, 406L, 407L, 407L, 408L, 408L, 409L, 409L, 411L, 411L, 413L, 413L, 417L, 417L), `(state)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(time)` = c(6.4606, 17.078, 26.3217, 29.4839, 30.5763, 0.0753, 12.8939, 13.373, 14.3504, 3.7016, 6.0151, 6.6037, 12.5175, 13.0404, 16.7775, 17.2758, 6.4052, 7.6893, 3.1821, 6.1444, 7.5407, 8.6167, 9.7844, 9.8994, 16.1472, 0.0787, 3.1287, 4.6756, 9.204, 2.987, 13.9713, 2.8973, 4.5346, 10.7714, 10.0507, 19.0938, 21.7645, 24.4312, 29.5072, 0.2252, 3.9541, 7.5352, 7.8802, 9.9179, 12.6201, 1.9049, 20.4305, 21.063, 7.2752, 21.1944, 19.82, 22.4894, 28.6605, 0.6324, 2.6831, 6.0821, 15.7385, 11.1732, 19.1595, 20.9227, 3.8542, 5.3463, 0.2005, 8.7399, 18.1834, 27.4018, 6.5955, 13.974, 6.2231, 12.3751, 0.3279, 0.5578, 8.8508, 11.5667, 2.2738, 10.553, 11.306, 2.0986, 10.3039, 42.5784, 44.807, 1.6153, 13.8234, 14.5708, 12.8357, 13.8515, 14.9986, 10.6057, 20.1253, 20.9165, 21.4531, 10.412, 11.9726, 12.7693, 3.1129, 3.9179, 12.5147, 36.2341, 41.2882, 4.5065, 4.7502, 1.1999, 13.2327, 0.9856, 11.4278, 17.3812, 19.9932, 20.9268, 30.9083, 31.2916, 32.7372, 34.9001, 38.5606, 42.2608, 4.9849, 14.3292, 0.7399, 3.193, 23.5058, 23.8152, 6.399, 12.1348, 18.8152, 10.6427, 13.2491, 15.1355, 16.5921, 21.4326, 24.5291, 3.245, 10.6482, 8.2471, 11.3354, 14.4784, 16.5866, 17.0465, 2.7474, 12.7296, 0.1615, 3.6851, 28.2683, 35.6386, 1.4312, 13.9788, 8.6153, 21.2149, 3.7947, 13.0513, 0.6201, 4.6749, 5.0965, 9.54, 9.9233, 8.5893, 19.8556, 2.3333, 3.1766, 3.8282, 5.3997, 2.2977, 2.8042, 4.1376, 7.3272, 8.1321, 4.0828, 7.0178, 5.5578, 16.2491, 3.4853, 3.8576, 10.5763, 13.5058, 14.078, 41.8679, 42.8261, 0.9836, 9.9309, 6.5476, 7.6208, 5.577, 12.5558, 0.1745, 0.4045, 2.6851, 9.0041, 2.6721, 14.7817, 5.4244, 7.0342, 12.9035, 12.9993, 3.3593, 12.7775, 4.8679, 13.1964, 4.4736, 14.2067, 1.6824, 13.2717, 9.7529, 16.5647, 0.705, 2.397, 3.1253, 3.796, 5.6674, 14.9021, 15.1896, 26.5927, 2.8453, 7.8775, 10.3703, 19.3176, 1.7153, 3.1663, 5.2334, 6.4853, 12.4949, 18.3758, 1.8809, 2.3901, 5.5688, 14.3648, 25.4312, 47.3244, 57.0602, 30.2738, 36.7324, 2.4394, 10.7926, 1.2293, 2.152, 3.4278, 6.1273, 7.6413, 10.8036, 23.9069, 34.1958, 34.6749, 35.5674, 8.384, 9.9747, 11.3518, 19.5544, 19.976, 15.9001, 16.4175, 17.729, 5.0465, 8.6386, 9.0986, 9.8816, 3.0267, 9.332, 6.2218, 6.3751, 12.6968, 3.1615, 8.4401, 8.4353, 18.9487, 12.1533, 18.6776, 35.9651, 43.7077, 44.206, 12.8241, 19.1102, 24.0411, 2.8172, 7.0582, 2.553, 4.6092, 5.1841, 6.6571, 1.2464, 1.8542, 6.0842, 0.2697, 3.4894, 6.6461, 0.501, 2.3409, 5.358, 9.2457, 37.8823, 44.1656, 46.2738, 47.1937, 48.1903, 2.0479, 5.7659, 17.2991, 25.3895, 0.6769, 14.3087, 6.9925, 15.1786, 0.8077, 10.6557, 6.3203, 8.2943, 12.5845, 17.0034, 16.2738, 17.4155, 21.577, 22.2916, 9.5996, 20.384, 12.3621, 15.2697, 5.2971, 16.0157, 3.3669, 9.6229, 4.0883, 8.0253, 4.7502, 14.8966, 33.2854, 38.5749, 7.499, 9.1855, 7.5565, 8.2656, 12.4709, 18.3244, 1.1492, 2.0034, 2.7509, 4.87, 5.4504, 5.8528, 15.5517, 15.9706, 16.258, 24.9918, 0.1964, 0.6591, 1.1958, 7.5558, 10.6338, 11.269, 18.7023, 19.2005, 19.7728, 20.3121, 0.6639, 10.6954, 5.9288, 8.6146, 6.3012, 12.6229, 14.3888, 0.6222, 7.5572, 8.0746, 12.0281, 12.603, 0.9685, 1.7351, 2.8467, 10.2553, 4.0322, 11.3696, 0.0958, 10.4805, 1.1205, 5.4627, 6.2375, 6.7358, 11.5079, 1.2033, 2.3258, 1.64, 9.1335, 15.3101, 15.7728, 19.7495, 23.18, 13.0185, 19.1102, 1.4654, 4.4935, 4.1129, 7.0424, 1.1239, 7.5387, 9.4415, 10.0356, 4.4189, 12.5804, 0.9986, 1.8775, 2.2799, 8.4894, 4.2177, 4.653, 4.7926, 5.8275, 6.5175, 7.3169, 10.5565, 12.3196, 0.9206, 10.1335, 1.6865, 8.449, 2.8063, 3.3812, 4.0767, 4.783, 3.3121, 20.4867, 20.9658, 21.8775, 0.7112, 1.4203, 8.6372, 14.6947, 15.3272, 16.8604, 17.4928, 7.3593, 12.6872, 14.2012, 0.0712, 4.0767, 1.5202, 3.3409, 6.8166, 7.3532, 0.4846, 5.9302, 0.3641, 8.6242, 8.8172, 17.154, 1.7755, 4.2669, 4.7844, 5.4839, 7.1485, 6.7406, 7.3977, 7.9535, 12.5147, 4.2786, 8.8261, 31.4292, 37.6934, 38.2519, 39.2293, 2.642, 6.6667, 0.1992, 5.5298, 3.104, 7.2957, 1.3655, 8.744, 0.4483, 4.1855, 1.679, 8.9808, 0.2108, 4.104, 5.5647, 8.0753, 8.6311, 11.3525, 11.8891, 1.5613, 2.3087, 32.2101, 36.4648, 38.7837, 4.87, 12.1362, 4.5277, 6.0691, 6.8467, 10.1403, 10.6605, 11.7912, 1.4319, 6.2615, 11.0055, 14.8631, 3.1602, 4.7043, 3.3778, 3.8186, 6.2738, 9.7618, 8.3299, 10.4764, 10.9363, 13.1951, 13.6961, 0.8891, 1.7899, 2.0999, 3.2827, 0.3025, 4.4449, 1.7687, 5.7139, 4.4778, 10.2793, 3.4237, 8.2067, 6.3614, 6.8597, 11.5168, 8.3032, 8.7823, 8.2183, 9.5216, 2.8877, 5.6229, 6.3374, 0.1075, 2.6208, 5.2245, 5.3368, 10.7988, 10.729, 17.5188, 4.104, 10.0698, 10.6831, 1.3799, 3.77, 5.5989, 3.8754, 5.1786, 2.2834, 5.9986, 6.527, 9.0267, 8.2471, 17.0986, 4.59, 10.5202, 20.8131, 21.3114, 2.2101, 6.4237, 4.2444, 5.1068, 6.1992, 8.8658, 2.8131, 7.5086, 1.5291, 6.397, 4.3826, 6.4086, 7.3121, 30.5503, 35.8125, 4.9979, 9.5017, 10.1697, 5.3354, 7.23, 5.6906, 6.9144, 7.4155, 7.9329, 8.6995, 22.2745, 24.9767, 25.4942, 26.0308, 3.1718, 4.7625, 9.7522, 12.5613, 14.1492, 2.9083, 7.0287, 1.7782, 5.5756, 1.3415, 3.3539, 3.8303, 1.1478, 4.0116, 2.2519, 6.0383, 8.5791, 9.0007, 11.2621, 2.1567, 4.065, 1.7871, 4.5661, 5.0643, 5.7543, 28.9863, 32.781, 8.9295, 12.2834, 12.7625, 4.8042, 5.308, 7.8378, 0.9774, 3.1403, 3.6194, 4.0986, 4.8672, 8.0103, 1.0472, 6.2245, 2.4504, 4.0602, 1.6119, 4.8973, 23.0657, 24.0294, 24.3552, 0.8248, 4.0582, 9.6742, 12.6448, 3.5688, 4.0287, 4.4695, 6.5585, 2.755, 5.1451, 4.2745, 6.0568, 6.6126, 7.3409, 5.7988, 7.2745, 7.7153, 8.7967, 3.3121, 6.3128, 0.8186, 2.3518, 3.1958, 5.4189, 0.0999, 0.5982, 1.2882, 1.9014, 8.5907, 10.4634, 1.0979, 3.321, 2.4654, 3.692, 5.7426, 1.4483, 1.9849, 1.9452, 4.2368, 0.1875, 1.8576, 1.2724, 3.1259, 2.3135, 2.8693, 3.2717, 3.8467, 1.731, 1.8378, 16.0589, 17.614, 12.1417, 12.9658, 0.1869, 1.95, 4.9671, 5.9637, 1.7365, 3.2806, 1.9945, 3.5332, 3.6366, 4.729, 7.141, 8.655, 4.8036, 5.206, 5.8385, 6.3094, 11.4107, 13.0945, 13.1472, 14.8528, 4.7502, 5.8042, 6.3217, 8.9993, 9.9767, 13.2279, 14.3504, 3.0116, 3.3566, 3.8741, 1.8077, 2.4593, 1.9843, 2.54, 2.4675, 2.9466, 4.3244, 5.3703, 2.9001, 3.3901, 1.3641, 3.6229), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(obs)` = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L, 178L, 179L, 183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 218L, 219L, 220L, 221L, 222L, 223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L, 256L, 257L, 258L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 286L, 287L, 288L, 289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 299L, 300L, 301L, 302L, 303L, 304L, 305L, 306L, 309L, 310L, 311L, 312L, 313L, 314L, 315L, 316L, 321L, 322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 347L, 348L, 349L, 350L, 353L, 354L, 355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L, 370L, 371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L, 403L, 404L, 405L, 406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L, 425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L, 436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L, 458L, 459L, 460L, 461L, 462L, 463L, 464L, 465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 475L, 476L, 477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 488L, 489L, 490L, 491L, 492L, 493L, 494L, 495L, 496L, 497L, 498L, 499L, 500L, 501L, 502L, 503L, 504L, 505L, 506L, 507L, 508L, 509L, 510L, 515L, 516L, 517L, 518L, 519L, 520L, 521L, 522L, 530L, 531L, 532L, 533L, 534L, 535L, 536L, 537L, 538L, 539L, 540L, 541L, 542L, 543L, 544L, 547L, 548L, 551L, 552L, 553L, 554L, 555L, 556L, 557L, 558L, 559L, 560L, 561L, 562L, 563L, 564L, 565L, 566L, 567L, 568L, 569L, 570L, 571L, 576L, 577L, 578L, 579L, 580L, 581L, 582L, 583L, 584L, 585L, 586L, 587L, 588L, 589L, 590L, 591L, 592L, 593L, 594L, 595L, 596L, 597L, 598L, 599L, 600L, 601L, 602L, 603L, 606L, 607L, 608L, 609L, 610L, 611L, 612L, 617L, 618L, 619L, 620L, 621L, 622L, 623L, 624L, 625L, 626L, 627L, 628L, 629L, 630L, 631L, 632L, 633L, 634L, 635L, 636L, 637L, 638L, 639L, 640L, 641L, 642L, 643L, 644L, 645L, 646L, 647L, 648L, 649L, 650L, 651L, 652L, 653L, 654L, 655L, 656L, 657L, 658L, 659L, 662L, 663L, 664L, 665L, 666L, 667L, 670L, 671L, 672L, 673L, 674L, 675L, 680L, 681L, 682L, 683L, 684L, 685L, 692L, 693L, 694L, 697L, 698L, 699L, 700L, 701L, 702L, 703L, 704L, 707L, 708L, 709L, 710L, 711L, 712L, 713L, 714L, 715L, 716L, 717L, 718L, 719L, 720L, 721L, 722L, 731L, 732L, 733L, 734L, 735L, 736L, 737L, 738L, 739L, 740L, 741L, 742L, 743L, 744L, 745L, 746L, 747L, 748L, 749L, 752L, 753L, 754L, 755L, 759L, 760L, 761L, 762L, 763L, 764L, 765L, 766L, 767L, 768L, 769L, 770L, 771L, 772L, 773L, 774L, 775L, 776L, 777L, 778L, 779L, 780L, 781L, 782L, 783L, 784L, 785L, 786L, 787L, 788L, 789L, 790L, 791L, 792L, 793L, 794L, 795L, 796L, 797L, 798L, 799L, 800L, 801L, 802L, 803L, 804L, 805L, 806L), `(pcomb)` = c(NA, 1L, NA, 2L, 3L, NA, 4L, 5L, 6L, NA, 7L, 8L, 9L, 10L, 11L, 12L, NA, 13L, NA, 14L, 15L, 16L, NA, 17L, 18L, NA, 19L, 20L, 21L, NA, 22L, NA, 23L, 24L, NA, 25L, NA, 26L, 27L, NA, 28L, 29L, 30L, NA, 31L, NA, 32L, 33L, NA, 34L, NA, 35L, 36L, NA, 37L, NA, 38L, NA, 39L, 40L, NA, 41L, NA, 42L, NA, 43L, NA, 44L, NA, 45L, NA, 46L, NA, 47L, NA, 48L, 49L, NA, 50L, NA, 51L, NA, 52L, 53L, NA, 54L, 55L, NA, 56L, 57L, 58L, NA, 59L, 60L, NA, 61L, 62L, NA, 63L, NA, 64L, NA, 65L, NA, 66L, NA, 67L, 68L, NA, 69L, 70L, 71L, 72L, 73L, NA, 74L, NA, 75L, NA, 76L, NA, 77L, 78L, NA, 79L, NA, 80L, 81L, 82L, NA, 83L, NA, 84L, 85L, 86L, 87L, NA, 88L, NA, 89L, NA, 90L, NA, 91L, NA, 92L, NA, 93L, NA, 94L, 95L, 96L, 97L, NA, 98L, NA, 99L, 100L, 101L, NA, 102L, 103L, 104L, 105L, NA, 106L, NA, 107L, NA, 108L, 109L, 110L, 111L, NA, 112L, NA, 113L, NA, 114L, NA, 115L, NA, 116L, 117L, 118L, NA, 119L, NA, 120L, NA, 121L, NA, 122L, NA, 123L, NA, 124L, NA, 125L, NA, 126L, NA, 127L, 128L, 129L, NA, 130L, NA, 131L, NA, 132L, NA, 113L, NA, 133L, 134L, NA, 135L, 136L, NA, 137L, 138L, NA, 139L, NA, 140L, NA, 141L, NA, 142L, NA, 143L, 144L, 145L, 146L, 147L, NA, 148L, 149L, 150L, NA, 151L, 152L, 153L, 154L, NA, 155L, 156L, NA, 157L, 158L, 159L, NA, 160L, NA, 161L, 162L, NA, 163L, NA, 164L, NA, 165L, NA, 166L, 167L, NA, 168L, 169L, NA, 170L, NA, 171L, 172L, 173L, NA, 174L, 175L, NA, 176L, 177L, NA, 178L, 179L, 180L, NA, 181L, 182L, 183L, 184L, NA, 185L, NA, 186L, NA, 187L, NA, 188L, NA, 189L, NA, 190L, 191L, 192L, NA, 193L, 194L, 195L, NA, 196L, NA, 197L, NA, 198L, NA, 199L, NA, 200L, NA, 201L, NA, 202L, NA, 203L, NA, 204L, 205L, 206L, NA, 207L, 208L, 209L, 210L, 211L, NA, 212L, 213L, 214L, NA, 215L, 216L, 217L, NA, 218L, 219L, 220L, 221L, 222L, NA, 223L, NA, 224L, NA, 225L, 226L, NA, 227L, 228L, NA, 172L, NA, 229L, 230L, 231L, NA, 232L, NA, 233L, NA, 234L, 235L, 12L, 236L, NA, 237L, NA, 238L, NA, 215L, NA, 239L, NA, 240L, NA, 241L, NA, 110L, NA, 242L, 243L, 244L, NA, 245L, NA, 246L, 247L, 248L, NA, 249L, 250L, 251L, 252L, 253L, NA, 254L, NA, 255L, NA, 256L, NA, 172L, 257L, 258L, NA, 259L, 260L, 261L, NA, 262L, 263L, NA, 33L, 264L, 265L, NA, 266L, 267L, NA, 268L, NA, 269L, NA, 270L, NA, 271L, NA, 272L, NA, 273L, NA, 274L, 275L, NA, 276L, NA, 277L, 278L, 279L, NA, 280L, NA, 281L, 282L, 283L, NA, 284L, NA, 285L, NA, 286L, NA, 287L, NA, 288L, NA, 289L, NA, 290L, NA, 291L, 278L, 292L, 58L, NA, 293L, NA, 294L, 295L, NA, 296L, NA, 297L, 298L, 299L, 300L, 301L, NA, 302L, NA, 303L, NA, 304L, NA, 305L, NA, 306L, NA, 307L, 308L, 309L, 310L, NA, 311L, NA, 312L, NA, 313L, NA, 314L, NA, 315L, NA, 316L, NA, 317L, 318L, NA, 319L, NA, 320L, NA, 321L, 322L, NA, 323L, 324L, NA, 325L, NA, 326L, NA, 327L, 328L, NA, 329L, 330L, NA, 331L, NA, 332L, 333L, 334L, NA, 335L, NA, 336L, NA, 167L, NA, 337L, NA, 338L, 339L, 340L, NA, 341L, NA, 342L, NA, 343L, 344L, NA, 345L, NA, 346L, 347L, NA, 348L, NA, 349L, 350L, 351L, 352L, NA, 31L, 353L, 58L, NA, 354L, NA, 355L, 356L, NA, 357L, NA, 358L, NA, 359L, 360L, NA, 361L, NA, 362L, NA, 95L, 363L, NA, 364L, NA, 365L, 366L, 367L, NA, 368L, NA, 369L, 370L, NA, 371L, 372L, NA, 373L, 374L, 375L, NA, 376L, NA, 377L, NA, 120L, NA, 378L, NA, 379L, 380L, NA, 381L, NA, 382L, NA, 383L, 305L, 384L, NA, 329L, NA, 385L, 386L, 387L, NA, 388L, 389L, 390L, NA, 391L, NA, 264L, NA, 392L, NA, 167L, 393L, 394L, NA, 395L, NA, 396L, NA, 397L, 398L, NA, 399L, NA, 400L, NA, 401L, NA, 402L, NA, 278L, 211L, 403L, NA, 404L, NA, 405L, NA, 406L, NA, 254L, NA, 407L, NA, 304L, NA, 408L, NA, 409L, NA, 410L, NA, 411L, 412L, 413L, NA, 414L, NA, 415L, NA, 416L, 275L, NA, 417L, NA, 418L, NA, 419L, 275L, NA, 420L, NA, 421L, NA, 422L, NA, 423L, NA, 424L, NA, 425L)), mf.agg = list(ollwsdrt = c(1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L), `(subject)` = c(94L, 389L, 9L, 222L, 131L, 36L, 89L, 51L, 188L, 59L, 358L, 406L, 19L, 83L, 56L, 76L, 387L, 186L, 221L, 398L, 188L, 125L, 339L, 76L, 222L, 362L, 275L, 366L, 277L, 362L, 66L, 129L, 190L, 210L, 398L, 335L, 5L, 344L, 294L, 348L, 409L, 229L, 124L, 348L, 413L, 341L, 192L, 291L, 377L, 311L, 135L, 204L, 6L, 277L, 327L, 346L, 80L, 117L, 126L, 197L, 327L, 328L, 401L, 241L, 406L, 268L, 6L, 308L, 260L, 328L, 45L, 237L, 381L, 190L, 192L, 408L, 260L, 246L, 387L, 365L, 249L, 83L, 192L, 198L, 143L, 228L, 387L, 186L, 6L, 219L, 145L, 377L, 305L, 231L, 398L, 23L, 231L, 192L, 407L, 79L, 246L, 324L, 104L, 341L, 377L, 222L, 228L, 228L, 185L, 230L, 297L, 169L, 104L, 365L, 262L, 42L, 186L, 39L, 199L, 327L, 204L, 268L, 129L, 45L, 46L, 222L, 80L, 47L, 391L, 79L, 186L, 313L, 221L, 124L, 278L, 321L, 229L, 150L, 123L, 55L, 84L, 358L, 403L, 5L, 249L, 393L, 150L, 44L, 222L, 411L, 401L, 87L, 8L, 366L, 2L, 313L, 396L, 199L, 206L, 404L, 268L, 169L, 44L, 282L, 327L, 380L, 123L, 7L, 307L, 295L, 126L, 80L, 125L, 8L, 56L, 114L, 62L, 143L, 366L, 31L, 123L, 232L, 397L, 368L, 231L, 395L, 268L, 273L, 12L, 390L, 46L, 79L, 331L, 125L, 330L, 354L, 93L, 15L, 244L, 384L, 399L, 184L, 104L, 400L, 392L, 224L, 29L, 196L, 365L, 235L, 306L, 148L, 385L, 378L, 325L, 219L, 340L, 166L, 194L, 180L, 124L, 202L, 54L, 133L, 1L, 82L, 174L, 172L, 14L, 118L, 78L, 110L, 98L, 53L, 91L, 42L, 73L, 74L, 5L, 160L, 24L, 229L, 23L, 335L, 321L, 380L, 27L, 143L, 114L, 362L, 150L, 66L, 186L, 277L, 56L, 348L, 370L, 379L, 41L, 277L, 417L, 339L, 89L, 382L, 6L, 263L, 306L, 58L, 241L, 308L, 260L, 298L, 346L, 298L, 61L, 55L, 313L, 18L, 25L, 195L, 123L, 328L, 21L, 37L, 260L, 297L, 341L, 331L, 336L, 173L, 216L, 83L, 81L, 8L, 361L, 367L, 148L, 214L, 12L, 66L, 62L, 66L, 349L, 146L, 2L, 123L, 117L, 80L, 146L, 360L, 355L, 268L, 344L, 211L, 276L, 70L, 19L, 129L, 56L, 56L, 308L, 157L, 19L, 6L, 256L, 337L, 342L, 334L, 272L, 148L, 259L, 178L, 287L, 234L, 250L, 76L, 333L, 285L, 169L, 253L, 185L, 312L, 145L, 139L, 263L, 166L, 204L, 166L, 76L, 324L, 12L, 248L, 246L, 291L, 318L, 204L, 289L, 269L, 62L, 319L, 136L, 111L, 49L, 18L, 352L, 323L, 132L, 181L, 232L, 251L, 238L, 303L, 60L, 288L, 185L, 116L, 6L, 310L, 305L, 116L, 212L, 35L, 25L, 221L, 15L, 9L, 176L, 249L, 150L, 136L, 130L, 89L, 196L, 131L, 190L, 219L, 121L, 134L, 60L, 83L, 227L, 304L, 103L, 197L, 88L, 230L, 264L, 257L, 201L, 72L, 255L, 34L, 64L, 199L, 192L, 208L, 135L, 29L, 158L, 220L, 162L, 125L, 40L, 239L, 39L, 96L, 240L, 122L, 32L, 47L, 188L, 309L, 85L, 113L, 16L, 225L, 33L, 108L, 75L, 57L, 95L, 45L, 28L, 97L, 120L, 165L, 68L), `(fromstate)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(time)` = c(12.9035, 1.731, 9.7844, 4.653, 6.2218, 0.3279, 0.1745, 4.5065, 15.9706, 23.5058, 24.0294, 3.0116, 7.5352, 3.4853, 30.9083, 9.54, 2.8693, 5.4504, 1.8775, 4.8036, 15.5517, 19.5544, 8.5791, 4.6749, 4.2177, 4.0287, 3.3778, 7.2745, 10.4764, 3.5688, 16.5866, 8.6386, 0.1964, 15.3101, 5.8385, 3.3539, 12.8939, 12.2834, 8.3032, 3.1403, 2.4675, 20.4867, 34.1958, 3.6194, 2.9001, 4.5661, 18.7023, 6.3614, 0.0999, 20.8131, 43.7077, 6.2375, 16.7775, 13.1951, 6.9144, 4.8042, 2.2977, 1.8809, 15.9001, 7.5572, 7.4155, 24.9767, 5.8042, 4.2669, 3.3566, 10.1403, 12.5175, 5.9986, 11.3525, 25.4942, 20.9165, 6.8166, 1.4483, 0.6591, 19.7728, 1.9843, 8.0753, 7.3977, 2.3135, 6.0568, 37.6934, 13.5058, 19.2005, 12.0281, 4.6092, 2.8063, 3.2717, 4.87, 6.0151, 9.4415, 1.2464, 1.2882, 10.0698, 16.8604, 5.206, 20.4305, 14.6947, 10.6338, 1.8077, 3.1766, 6.7406, 9.5017, 3.1253, 5.0643, 0.5982, 5.8275, 3.3812, 4.0767, 7.5565, 0.7112, 5.6229, 21.577, 2.397, 6.6126, 1.5613, 13.8234, 2.0034, 10.553, 0.9685, 7.9329, 5.4627, 6.0691, 9.0986, 20.1253, 11.9726, 6.5175, 7.3272, 3.1129, 12.1417, 2.3333, 1.1492, 4.2444, 0.9986, 34.6749, 0.8891, 6.4086, 20.9658, 46.2738, 1.2293, 19.9932, 41.8679, 23.0657, 8.9993, 13.373, 38.2519, 4.9671, 47.1937, 12.8357, 4.7926, 4.3244, 4.7502, 6.5476, 7.5407, 7.7153, 29.4839, 5.1068, 3.6366, 1.7351, 1.2033, 13.2279, 10.6605, 16.2738, 13.8515, 2.0999, 5.6906, 2.4654, 2.152, 6.4052, 3.8754, 8.2183, 16.4175, 2.8042, 9.9747, 6.1444, 31.2916, 1.7153, 15.1355, 5.1841, 5.7988, 3.8542, 6.1273, 12.6872, 7.141, 0.8186, 15.3272, 1.9945, 4.5277, 3.1602, 3.1287, 16.0589, 10.412, 3.8282, 12.5613, 8.384, 3.1718, 2.4504, 5.4244, 2.8973, 5.4839, 0.1875, 11.4107, 7.499, 0.705, 13.1472, 0.1869, 10.5565, 19.1595, 12.6229, 4.2745, 1.5202, 3.77, 0.501, 1.2724, 8.5907, 5.3354, 7.5387, 2.1567, 6.3203, 0.6639, 4.7502, 23.9069, 0.0958, 0.9856, 8.4353, 6.4606, 5.5578, 5.2971, 9.5996, 2.987, 14.3648, 8.5893, 15.1896, 1.6824, 1.1999, 2.6721, 1.6153, 1.4312, 8.6153, 0.0753, 0.6769, 7.2752, 3.3121, 1.9049, 1.3415, 4.3826, 3.692, 0.6324, 2.553, 3.1663, 4.4695, 44.1656, 14.4784, 2.7509, 8.3299, 32.7372, 0.9774, 3.1958, 1.0979, 42.5784, 10.9363, 1.3641, 9.0007, 0.4045, 1.9452, 3.7016, 36.4648, 1.3799, 0.7399, 1.7755, 6.527, 5.5647, 0.1075, 5.308, 2.6208, 10.6427, 17.3812, 6.1992, 21.7645, 19.82, 5.9288, 3.4278, 22.2745, 9.9179, 8.8508, 8.6311, 2.8877, 1.7871, 9.7522, 1.1478, 12.3621, 4.1129, 10.5763, 4.0828, 3.1821, 9.6742, 3.3121, 2.3409, 1.4654, 0.0787, 8.2471, 21.4326, 11.3354, 4.8672, 3.4894, 26.3217, 7.6413, 2.3901, 4.1376, 0.2697, 0.8248, 1.6119, 6.8467, 8.9295, 19.7495, 6.2738, 0.1615, 3.9541, 5.0465, 34.9001, 38.5606, 2.2834, 2.0479, 0.2252, 13.0404, 0.4483, 2.2519, 28.9863, 1.7782, 11.0055, 5.358, 0.2108, 4.0883, 1.7687, 0.0712, 2.642, 0.6201, 2.9083, 0.3025, 17.4155, 3.104, 8.2656, 2.2101, 1.8542, 2.8172, 32.2101, 8.2943, 1.1205, 12.5845, 5.0965, 4.9979, 4.6756, 4.2786, 7.9535, 6.8597, 2.8131, 6.7358, 3.4237, 1.4319, 16.5921, 1.5291, 19.1102, 2.8453, 36.2341, 24.4312, 1.0472, 30.5503, 3.1615, 33.2854, 7.3593, 0.1992, 0.4846, 5.3368, 6.399, 4.4778, 12.4709, 12.4949, 6.6037, 4.59, 4.104, 6.4853, 13.0185, 6.2231, 22.4894, 2.2799, 4.5346, 9.8994, 3.3669, 31.4292, 37.8823, 12.8241, 3.0267, 2.6851, 6.3012, 6.3751, 1.1958, 1.1239, 30.2738, 12.1533, 12.1348, 3.8576, 1.6865, 10.729, 9.7529, 0.6222, 5.577, 1.4203, 4.87, 1.679, 4.0322, 28.2683, 1.3655, 6.5955, 3.245, 2.8467, 11.269, 1.64, 35.9651, 11.1732, 17.2991, 4.4189, 6.9925, 11.3518, 2.0986, 0.3641, 2.2738, 4.8679, 8.8172, 2.4394, 0.2005, 3.9179, 16.258, 8.2471, 0.9836, 10.3703, 10.0507, 0.9206, 18.1834, 5.6674, 3.7947, 4.9849, 3.3593, 10.6057, 6.0821, 4.4736, 47.3244, 0.8077, 2.7474), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(obs)` = c(196L, 760L, 24L, 430L, 270L, 74L, 188L, 103L, 367L, 122L, 694L, 793L, 43L, 172L, 112L, 155L, 754L, 364L, 426L, 778L, 366L, 255L, 650L, 153L, 429L, 703L, 535L, 715L, 540L, 702L, 138L, 265L, 370L, 409L, 780L, 644L, 8L, 664L, 563L, 672L, 800L, 446L, 249L, 673L, 804L, 656L, 376L, 560L, 732L, 597L, 280L, 402L, 16L, 542L, 626L, 666L, 163L, 231L, 257L, 388L, 627L, 631L, 787L, 472L, 794L, 519L, 14L, 590L, 503L, 632L, 93L, 463L, 743L, 371L, 378L, 798L, 501L, 477L, 753L, 711L, 483L, 175L, 377L, 390L, 290L, 441L, 755L, 363L, 12L, 421L, 293L, 734L, 582L, 454L, 779L, 50L, 452L, 374L, 796L, 160L, 476L, 621L, 215L, 657L, 733L, 432L, 442L, 443L, 356L, 449L, 568L, 330L, 214L, 712L, 505L, 86L, 361L, 79L, 392L, 628L, 401L, 517L, 266L, 92L, 96L, 433L, 166L, 98L, 764L, 159L, 360L, 601L, 425L, 250L, 544L, 612L, 447L, 305L, 242L, 110L, 177L, 693L, 789L, 9L, 484L, 768L, 306L, 88L, 431L, 802L, 786L, 184L, 22L, 716L, 5L, 602L, 774L, 393L, 405L, 791L, 520L, 328L, 89L, 548L, 625L, 740L, 243L, 18L, 587L, 565L, 258L, 164L, 253L, 21L, 113L, 225L, 129L, 291L, 714L, 64L, 245L, 457L, 776L, 720L, 453L, 772L, 516L, 533L, 28L, 762L, 95L, 161L, 637L, 252L, 634L, 683L, 194L, 33L, 474L, 747L, 782L, 354L, 213L, 784L, 766L, 435L, 62L, 385L, 710L, 461L, 585L, 299L, 749L, 736L, 623L, 420L, 653L, 324L, 380L, 348L, 248L, 398L, 107L, 275L, 2L, 170L, 338L, 334L, 31L, 234L, 157L, 219L, 204L, 105L, 192L, 85L, 146L, 148L, 7L, 314L, 52L, 445L, 49L, 643L, 611L, 741L, 57L, 289L, 226L, 704L, 304L, 137L, 362L, 539L, 114L, 671L, 722L, 738L, 83L, 541L, 806L, 651L, 189L, 745L, 11L, 508L, 584L, 120L, 471L, 591L, 500L, 570L, 667L, 571L, 127L, 109L, 603L, 38L, 54L, 382L, 244L, 630L, 47L, 76L, 502L, 567L, 655L, 636L, 646L, 336L, 417L, 174L, 168L, 20L, 700L, 718L, 300L, 415L, 27L, 135L, 131L, 136L, 675L, 297L, 4L, 246L, 232L, 165L, 296L, 698L, 685L, 518L, 663L, 411L, 537L, 142L, 42L, 264L, 115L, 116L, 589L, 310L, 41L, 15L, 494L, 648L, 659L, 641L, 531L, 301L, 498L, 342L, 554L, 459L, 486L, 152L, 639L, 552L, 329L, 490L, 357L, 599L, 294L, 287L, 507L, 325L, 400L, 326L, 154L, 620L, 29L, 480L, 478L, 561L, 607L, 403L, 558L, 522L, 130L, 609L, 283L, 221L, 101L, 39L, 681L, 618L, 273L, 350L, 456L, 488L, 465L, 577L, 124L, 556L, 358L, 229L, 13L, 595L, 581L, 228L, 413L, 72L, 55L, 427L, 34L, 25L, 340L, 482L, 303L, 282L, 268L, 190L, 384L, 271L, 372L, 419L, 238L, 277L, 125L, 173L, 439L, 579L, 211L, 387L, 186L, 450L, 510L, 496L, 396L, 144L, 492L, 70L, 133L, 394L, 375L, 407L, 279L, 61L, 312L, 423L, 316L, 254L, 81L, 467L, 78L, 200L, 469L, 240L, 66L, 99L, 368L, 593L, 179L, 223L, 36L, 437L, 68L, 217L, 150L, 118L, 198L, 91L, 59L, 202L, 236L, 322L, 140L), `(tostate)` = c(2L, 4L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 4L, 1L, 1L, 4L, 3L, 4L, 3L, 1L, 1L, 4L, 2L, 3L, 1L, 2L, 2L, 2L, 3L, 1L, 4L, 3L, 1L, 2L, 2L, 3L, 2L, 4L, 1L, 3L, 1L, 3L, 3L, 4L, 1L, 2L, 3L, 3L, 1L, 2L, 4L, 3L, 4L, 4L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 1L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 3L, 2L, 1L, 3L, 2L, 3L, 1L, 3L, 2L, 2L, 4L, 3L, 4L, 4L, 4L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 4L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 2L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 3L, 1L, 4L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 1L, 1L, 4L, 2L, 1L, 2L, 3L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 4L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 2L, 4L, 3L, 1L, 4L, 4L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 1L, 4L, 2L, 3L, 1L, 2L, 1L, 2L, 4L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 3L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 1L, 1L), `(timelag)` = c(0.0958000000000006, 0.1068, 0.115, 0.139600000000001, 0.1533, 0.2299, 0.23, 0.2437, 0.2874, 0.3094, 0.325800000000001, 0.345, 0.345000000000001, 0.3723, 0.383299999999998, 0.3833, 0.4024, 0.4024, 0.4024, 0.4024, 0.418899999999999, 0.421599999999998, 0.4216, 0.4216, 0.4353, 0.4408, 0.4408, 0.4408, 0.459899999999999, 0.4599, 0.459900000000001, 0.459999999999999, 0.4627, 0.4627, 0.4709, 0.4764, 0.479099999999999, 0.479099999999999, 0.479099999999999, 0.4791, 0.4791, 0.479100000000003, 0.479100000000003, 0.4792, 0.49, 0.498200000000001, 0.498200000000001, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.500999999999999, 0.5011, 0.5038, 0.5065, 0.5092, 0.5174, 0.5174, 0.5174, 0.517499999999998, 0.5175, 0.5175, 0.5175, 0.520200000000001, 0.5229, 0.5284, 0.5366, 0.5366, 0.5366, 0.5366, 0.5366, 0.5367, 0.539300000000001, 0.5557, 0.5558, 0.5558, 0.5558, 0.5558, 0.558500000000002, 0.572199999999999, 0.572299999999998, 0.5749, 0.5749, 0.5749, 0.575, 0.5804, 0.5886, 0.594100000000001, 0.6078, 0.6132, 0.613299999999999, 0.632400000000001, 0.632499999999999, 0.6325, 0.6325, 0.635199999999999, 0.6516, 0.6516, 0.657100000000001, 0.668000000000001, 0.6707, 0.69, 0.69, 0.69, 0.6955, 0.706300000000001, 0.709099999999999, 0.7091, 0.7145, 0.714599999999997, 0.7283, 0.728300000000001, 0.7474, 0.747400000000001, 0.7475, 0.752999999999998, 0.7666, 0.7666, 0.7748, 0.777600000000001, 0.783000000000001, 0.7912, 0.7967, 0.7994, 0.804899999999999, 0.805, 0.8241, 0.8433, 0.8542, 0.8624, 0.8789, 0.892499999999998, 0.9008, 0.9035, 0.9117, 0.919899999999998, 0.9227, 0.933599999999998, 0.958199999999998, 0.963699999999999, 0.977399999999999, 0.977400000000001, 0.977400000000003, 0.9966, 0.996600000000001, 1.0158, 1.0349, 1.0459, 1.054, 1.0732, 1.076, 1.0814, 1.0924, 1.0924, 1.0924, 1.1116, 1.1225, 1.1225, 1.1307, 1.1417, 1.1471, 1.1828, 1.2238, 1.2266, 1.2758, 1.2841, 1.3032, 1.3033, 1.3115, 1.3334, 1.3771, 1.3963, 1.4456, 1.451, 1.4566, 1.473, 1.4757, 1.4921, 1.514, 1.514, 1.514, 1.5332, 1.5332, 1.5387, 1.5414, 1.5441, 1.5469, 1.5551, 1.5606, 1.5715, 1.5879, 1.5907, 1.5907, 1.6098, 1.6098, 1.6373, 1.6646, 1.6701, 1.6838, 1.6865, 1.692, 1.7056, 1.7631, 1.7631, 1.7632, 1.7659, 1.7823, 1.8207, 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-0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, 0.832962138084632, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, 0.832962138084632, -0.167037861915367, -0.167037861915367, -0.167037861915367, 0.832962138084632, -0.167037861915367, -0.167037861915367), mm.mcov = NULL, mm.hcov = NULL, mm.icov = NULL, subject.weights = NULL), qmodel = list(nstates = 4L, iso = 1, perm = c(1, 2, 3, 4), qperm = 1:4, npars = 3, imatrix = c(0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0), qmatrix = c(-0.0578991440335294, 0, 0, 0, 0.0578991440335294, -0.0719671944740709, 0, 0, 0, 0.0719671944740709, -0.169691377247322, 0, 0, 0, 0.169691377247322, 0), inits = c(0.0578991440335294, 0.0719671944740709, 0.169691377247322 ), constr = 1:3, ndpars = 3L, expm = 1), qcmodel = list(npars = 6, ndpars = 6L, ncovs = 2, constr = 1:6, covlabels = c("ollwsdrt", "hieffusn"), inits = c(0, 0, 0, 0, 0, 0), covmeans = c(ollwsdrt = 0.309576837416481, hieffusn = 0.167037861915367)), cmodel = list(ncens = 0, censor = NULL, states = NULL, states_list = NULL, index = NULL), hmodel = list(hidden = FALSE, models = c(0, 0, 0, 0), nipars = 0, nicoveffs = 0, totpars = 0, ncoveffs = 0, ematrix = FALSE), paramdata = list(inits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), plabs = c("qbase", "qbase", "qbase", "qcov", "qcov", "qcov", "qcov", "qcov", "qcov"), allinits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), hmmpars = integer(0), fixed = FALSE, fixedpars = integer(0), optpars = 1:9, auxpars = integer(0), constr = c(1, 2, 3, 4, 5, 6, 7, 8, 9), npars = 9, duppars = integer(0), nfix = 0L, nopt = 9L, ndup = 0L, ranges = c(0, 0, 0, -Inf, -Inf, -Inf, -Inf, -Inf, -Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf ), params = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0)))
5: do.call("optim", optim.args)
6: msm.optim.optim(p = list(inits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), plabs = c("qbase", "qbase", "qbase", "qcov", "qcov", "qcov", "qcov", "qcov", "qcov"), allinits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), hmmpars = integer(0), fixed = FALSE, fixedpars = integer(0), optpars = 1:9, auxpars = integer(0), constr = c(1, 2, 3, 4, 5, 6, 7, 8, 9), npars = 9, duppars = integer(0), nfix = 0L, nopt = 9L, ndup = 0L, ranges = c(0, 0, 0, -Inf, -Inf, -Inf, -Inf, -Inf, -Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf), params = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0)), gr = function (params, ...) { w <- list(...)$msmdata$subject.weights if (!is.null(w)) { deriv <- Ccall.msm(params, do.what = "deriv.subj", ...) apply(w * deriv, 2, sum) } else Ccall.msm(params, do.what = "deriv", ...)}, hessian = TRUE, msmdata = list(mf = list(ollwsdrt = c(1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L), `(subject)` = c(1L, 1L, 2L, 2L, 2L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 12L, 12L, 12L, 12L, 14L, 14L, 15L, 15L, 15L, 16L, 16L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 21L, 21L, 23L, 23L, 23L, 24L, 24L, 25L, 25L, 25L, 27L, 27L, 28L, 28L, 29L, 29L, 29L, 31L, 31L, 32L, 32L, 33L, 33L, 34L, 34L, 35L, 35L, 36L, 36L, 37L, 37L, 39L, 39L, 39L, 40L, 40L, 41L, 41L, 42L, 42L, 42L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 47L, 47L, 47L, 49L, 49L, 51L, 51L, 53L, 53L, 54L, 54L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 58L, 58L, 59L, 59L, 60L, 60L, 60L, 61L, 61L, 62L, 62L, 62L, 62L, 64L, 64L, 66L, 66L, 66L, 66L, 66L, 68L, 68L, 70L, 70L, 72L, 72L, 73L, 73L, 74L, 74L, 75L, 75L, 76L, 76L, 76L, 76L, 76L, 78L, 78L, 79L, 79L, 79L, 79L, 80L, 80L, 80L, 80L, 80L, 81L, 81L, 82L, 82L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 85L, 85L, 87L, 87L, 88L, 88L, 89L, 89L, 89L, 89L, 91L, 91L, 93L, 93L, 94L, 94L, 95L, 95L, 96L, 96L, 97L, 97L, 98L, 98L, 103L, 103L, 104L, 104L, 104L, 104L, 108L, 108L, 110L, 110L, 111L, 111L, 113L, 113L, 114L, 114L, 114L, 116L, 116L, 116L, 117L, 117L, 117L, 118L, 118L, 120L, 120L, 121L, 121L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 124L, 124L, 124L, 124L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 129L, 129L, 129L, 129L, 130L, 130L, 131L, 131L, 131L, 132L, 132L, 133L, 133L, 134L, 134L, 135L, 135L, 135L, 136L, 136L, 136L, 139L, 139L, 143L, 143L, 143L, 143L, 145L, 145L, 145L, 146L, 146L, 146L, 148L, 148L, 148L, 148L, 150L, 150L, 150L, 150L, 150L, 157L, 157L, 158L, 158L, 160L, 160L, 162L, 162L, 165L, 165L, 166L, 166L, 166L, 166L, 169L, 169L, 169L, 169L, 172L, 172L, 173L, 173L, 174L, 174L, 176L, 176L, 178L, 178L, 180L, 180L, 181L, 181L, 184L, 184L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 188L, 188L, 188L, 188L, 190L, 190L, 190L, 190L, 192L, 192L, 192L, 192L, 192L, 192L, 194L, 194L, 195L, 195L, 196L, 196L, 196L, 197L, 197L, 197L, 198L, 198L, 199L, 199L, 199L, 199L, 201L, 201L, 202L, 202L, 204L, 204L, 204L, 204L, 204L, 206L, 206L, 208L, 208L, 210L, 210L, 211L, 211L, 212L, 212L, 214L, 214L, 216L, 216L, 219L, 219L, 219L, 219L, 220L, 220L, 221L, 221L, 221L, 221L, 222L, 222L, 222L, 222L, 222L, 222L, 224L, 224L, 225L, 225L, 227L, 227L, 228L, 228L, 228L, 228L, 229L, 229L, 229L, 229L, 230L, 230L, 230L, 231L, 231L, 231L, 231L, 232L, 232L, 232L, 234L, 234L, 235L, 235L, 237L, 237L, 238L, 238L, 239L, 239L, 240L, 240L, 241L, 241L, 241L, 244L, 244L, 246L, 246L, 246L, 246L, 248L, 248L, 249L, 249L, 249L, 249L, 250L, 250L, 251L, 251L, 253L, 253L, 255L, 255L, 256L, 256L, 257L, 257L, 259L, 259L, 260L, 260L, 260L, 260L, 260L, 262L, 262L, 263L, 263L, 263L, 264L, 264L, 268L, 268L, 268L, 268L, 268L, 268L, 269L, 269L, 272L, 272L, 273L, 273L, 275L, 275L, 276L, 276L, 277L, 277L, 277L, 277L, 277L, 278L, 278L, 282L, 282L, 285L, 285L, 287L, 287L, 288L, 288L, 289L, 289L, 291L, 291L, 291L, 294L, 294L, 295L, 295L, 297L, 297L, 297L, 298L, 298L, 298L, 303L, 303L, 304L, 304L, 305L, 305L, 305L, 306L, 306L, 306L, 307L, 307L, 308L, 308L, 308L, 308L, 309L, 309L, 310L, 310L, 311L, 311L, 312L, 312L, 313L, 313L, 313L, 313L, 318L, 318L, 319L, 319L, 321L, 321L, 321L, 323L, 323L, 324L, 324L, 324L, 325L, 325L, 327L, 327L, 327L, 327L, 327L, 328L, 328L, 328L, 328L, 330L, 330L, 331L, 331L, 331L, 333L, 333L, 334L, 334L, 335L, 335L, 335L, 336L, 336L, 337L, 337L, 339L, 339L, 339L, 340L, 340L, 341L, 341L, 341L, 341L, 342L, 342L, 344L, 344L, 344L, 346L, 346L, 346L, 348L, 348L, 348L, 348L, 349L, 349L, 352L, 352L, 354L, 354L, 355L, 355L, 358L, 358L, 358L, 360L, 360L, 361L, 361L, 362L, 362L, 362L, 362L, 364L, 364L, 365L, 365L, 365L, 365L, 366L, 366L, 366L, 366L, 367L, 367L, 368L, 368L, 370L, 370L, 377L, 377L, 377L, 377L, 378L, 378L, 379L, 379L, 380L, 380L, 380L, 381L, 381L, 382L, 382L, 384L, 384L, 385L, 385L, 387L, 387L, 387L, 387L, 389L, 389L, 390L, 390L, 391L, 391L, 392L, 392L, 393L, 393L, 394L, 394L, 395L, 395L, 396L, 396L, 397L, 397L, 398L, 398L, 398L, 398L, 399L, 399L, 400L, 400L, 401L, 401L, 401L, 403L, 403L, 404L, 404L, 406L, 406L, 406L, 407L, 407L, 408L, 408L, 409L, 409L, 411L, 411L, 413L, 413L, 417L, 417L), `(state)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(time)` = c(6.4606, 17.078, 26.3217, 29.4839, 30.5763, 0.0753, 12.8939, 13.373, 14.3504, 3.7016, 6.0151, 6.6037, 12.5175, 13.0404, 16.7775, 17.2758, 6.4052, 7.6893, 3.1821, 6.1444, 7.5407, 8.6167, 9.7844, 9.8994, 16.1472, 0.0787, 3.1287, 4.6756, 9.204, 2.987, 13.9713, 2.8973, 4.5346, 10.7714, 10.0507, 19.0938, 21.7645, 24.4312, 29.5072, 0.2252, 3.9541, 7.5352, 7.8802, 9.9179, 12.6201, 1.9049, 20.4305, 21.063, 7.2752, 21.1944, 19.82, 22.4894, 28.6605, 0.6324, 2.6831, 6.0821, 15.7385, 11.1732, 19.1595, 20.9227, 3.8542, 5.3463, 0.2005, 8.7399, 18.1834, 27.4018, 6.5955, 13.974, 6.2231, 12.3751, 0.3279, 0.5578, 8.8508, 11.5667, 2.2738, 10.553, 11.306, 2.0986, 10.3039, 42.5784, 44.807, 1.6153, 13.8234, 14.5708, 12.8357, 13.8515, 14.9986, 10.6057, 20.1253, 20.9165, 21.4531, 10.412, 11.9726, 12.7693, 3.1129, 3.9179, 12.5147, 36.2341, 41.2882, 4.5065, 4.7502, 1.1999, 13.2327, 0.9856, 11.4278, 17.3812, 19.9932, 20.9268, 30.9083, 31.2916, 32.7372, 34.9001, 38.5606, 42.2608, 4.9849, 14.3292, 0.7399, 3.193, 23.5058, 23.8152, 6.399, 12.1348, 18.8152, 10.6427, 13.2491, 15.1355, 16.5921, 21.4326, 24.5291, 3.245, 10.6482, 8.2471, 11.3354, 14.4784, 16.5866, 17.0465, 2.7474, 12.7296, 0.1615, 3.6851, 28.2683, 35.6386, 1.4312, 13.9788, 8.6153, 21.2149, 3.7947, 13.0513, 0.6201, 4.6749, 5.0965, 9.54, 9.9233, 8.5893, 19.8556, 2.3333, 3.1766, 3.8282, 5.3997, 2.2977, 2.8042, 4.1376, 7.3272, 8.1321, 4.0828, 7.0178, 5.5578, 16.2491, 3.4853, 3.8576, 10.5763, 13.5058, 14.078, 41.8679, 42.8261, 0.9836, 9.9309, 6.5476, 7.6208, 5.577, 12.5558, 0.1745, 0.4045, 2.6851, 9.0041, 2.6721, 14.7817, 5.4244, 7.0342, 12.9035, 12.9993, 3.3593, 12.7775, 4.8679, 13.1964, 4.4736, 14.2067, 1.6824, 13.2717, 9.7529, 16.5647, 0.705, 2.397, 3.1253, 3.796, 5.6674, 14.9021, 15.1896, 26.5927, 2.8453, 7.8775, 10.3703, 19.3176, 1.7153, 3.1663, 5.2334, 6.4853, 12.4949, 18.3758, 1.8809, 2.3901, 5.5688, 14.3648, 25.4312, 47.3244, 57.0602, 30.2738, 36.7324, 2.4394, 10.7926, 1.2293, 2.152, 3.4278, 6.1273, 7.6413, 10.8036, 23.9069, 34.1958, 34.6749, 35.5674, 8.384, 9.9747, 11.3518, 19.5544, 19.976, 15.9001, 16.4175, 17.729, 5.0465, 8.6386, 9.0986, 9.8816, 3.0267, 9.332, 6.2218, 6.3751, 12.6968, 3.1615, 8.4401, 8.4353, 18.9487, 12.1533, 18.6776, 35.9651, 43.7077, 44.206, 12.8241, 19.1102, 24.0411, 2.8172, 7.0582, 2.553, 4.6092, 5.1841, 6.6571, 1.2464, 1.8542, 6.0842, 0.2697, 3.4894, 6.6461, 0.501, 2.3409, 5.358, 9.2457, 37.8823, 44.1656, 46.2738, 47.1937, 48.1903, 2.0479, 5.7659, 17.2991, 25.3895, 0.6769, 14.3087, 6.9925, 15.1786, 0.8077, 10.6557, 6.3203, 8.2943, 12.5845, 17.0034, 16.2738, 17.4155, 21.577, 22.2916, 9.5996, 20.384, 12.3621, 15.2697, 5.2971, 16.0157, 3.3669, 9.6229, 4.0883, 8.0253, 4.7502, 14.8966, 33.2854, 38.5749, 7.499, 9.1855, 7.5565, 8.2656, 12.4709, 18.3244, 1.1492, 2.0034, 2.7509, 4.87, 5.4504, 5.8528, 15.5517, 15.9706, 16.258, 24.9918, 0.1964, 0.6591, 1.1958, 7.5558, 10.6338, 11.269, 18.7023, 19.2005, 19.7728, 20.3121, 0.6639, 10.6954, 5.9288, 8.6146, 6.3012, 12.6229, 14.3888, 0.6222, 7.5572, 8.0746, 12.0281, 12.603, 0.9685, 1.7351, 2.8467, 10.2553, 4.0322, 11.3696, 0.0958, 10.4805, 1.1205, 5.4627, 6.2375, 6.7358, 11.5079, 1.2033, 2.3258, 1.64, 9.1335, 15.3101, 15.7728, 19.7495, 23.18, 13.0185, 19.1102, 1.4654, 4.4935, 4.1129, 7.0424, 1.1239, 7.5387, 9.4415, 10.0356, 4.4189, 12.5804, 0.9986, 1.8775, 2.2799, 8.4894, 4.2177, 4.653, 4.7926, 5.8275, 6.5175, 7.3169, 10.5565, 12.3196, 0.9206, 10.1335, 1.6865, 8.449, 2.8063, 3.3812, 4.0767, 4.783, 3.3121, 20.4867, 20.9658, 21.8775, 0.7112, 1.4203, 8.6372, 14.6947, 15.3272, 16.8604, 17.4928, 7.3593, 12.6872, 14.2012, 0.0712, 4.0767, 1.5202, 3.3409, 6.8166, 7.3532, 0.4846, 5.9302, 0.3641, 8.6242, 8.8172, 17.154, 1.7755, 4.2669, 4.7844, 5.4839, 7.1485, 6.7406, 7.3977, 7.9535, 12.5147, 4.2786, 8.8261, 31.4292, 37.6934, 38.2519, 39.2293, 2.642, 6.6667, 0.1992, 5.5298, 3.104, 7.2957, 1.3655, 8.744, 0.4483, 4.1855, 1.679, 8.9808, 0.2108, 4.104, 5.5647, 8.0753, 8.6311, 11.3525, 11.8891, 1.5613, 2.3087, 32.2101, 36.4648, 38.7837, 4.87, 12.1362, 4.5277, 6.0691, 6.8467, 10.1403, 10.6605, 11.7912, 1.4319, 6.2615, 11.0055, 14.8631, 3.1602, 4.7043, 3.3778, 3.8186, 6.2738, 9.7618, 8.3299, 10.4764, 10.9363, 13.1951, 13.6961, 0.8891, 1.7899, 2.0999, 3.2827, 0.3025, 4.4449, 1.7687, 5.7139, 4.4778, 10.2793, 3.4237, 8.2067, 6.3614, 6.8597, 11.5168, 8.3032, 8.7823, 8.2183, 9.5216, 2.8877, 5.6229, 6.3374, 0.1075, 2.6208, 5.2245, 5.3368, 10.7988, 10.729, 17.5188, 4.104, 10.0698, 10.6831, 1.3799, 3.77, 5.5989, 3.8754, 5.1786, 2.2834, 5.9986, 6.527, 9.0267, 8.2471, 17.0986, 4.59, 10.5202, 20.8131, 21.3114, 2.2101, 6.4237, 4.2444, 5.1068, 6.1992, 8.8658, 2.8131, 7.5086, 1.5291, 6.397, 4.3826, 6.4086, 7.3121, 30.5503, 35.8125, 4.9979, 9.5017, 10.1697, 5.3354, 7.23, 5.6906, 6.9144, 7.4155, 7.9329, 8.6995, 22.2745, 24.9767, 25.4942, 26.0308, 3.1718, 4.7625, 9.7522, 12.5613, 14.1492, 2.9083, 7.0287, 1.7782, 5.5756, 1.3415, 3.3539, 3.8303, 1.1478, 4.0116, 2.2519, 6.0383, 8.5791, 9.0007, 11.2621, 2.1567, 4.065, 1.7871, 4.5661, 5.0643, 5.7543, 28.9863, 32.781, 8.9295, 12.2834, 12.7625, 4.8042, 5.308, 7.8378, 0.9774, 3.1403, 3.6194, 4.0986, 4.8672, 8.0103, 1.0472, 6.2245, 2.4504, 4.0602, 1.6119, 4.8973, 23.0657, 24.0294, 24.3552, 0.8248, 4.0582, 9.6742, 12.6448, 3.5688, 4.0287, 4.4695, 6.5585, 2.755, 5.1451, 4.2745, 6.0568, 6.6126, 7.3409, 5.7988, 7.2745, 7.7153, 8.7967, 3.3121, 6.3128, 0.8186, 2.3518, 3.1958, 5.4189, 0.0999, 0.5982, 1.2882, 1.9014, 8.5907, 10.4634, 1.0979, 3.321, 2.4654, 3.692, 5.7426, 1.4483, 1.9849, 1.9452, 4.2368, 0.1875, 1.8576, 1.2724, 3.1259, 2.3135, 2.8693, 3.2717, 3.8467, 1.731, 1.8378, 16.0589, 17.614, 12.1417, 12.9658, 0.1869, 1.95, 4.9671, 5.9637, 1.7365, 3.2806, 1.9945, 3.5332, 3.6366, 4.729, 7.141, 8.655, 4.8036, 5.206, 5.8385, 6.3094, 11.4107, 13.0945, 13.1472, 14.8528, 4.7502, 5.8042, 6.3217, 8.9993, 9.9767, 13.2279, 14.3504, 3.0116, 3.3566, 3.8741, 1.8077, 2.4593, 1.9843, 2.54, 2.4675, 2.9466, 4.3244, 5.3703, 2.9001, 3.3901, 1.3641, 3.6229), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(obs)` = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L, 178L, 179L, 183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 218L, 219L, 220L, 221L, 222L, 223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L, 256L, 257L, 258L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 286L, 287L, 288L, 289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 299L, 300L, 301L, 302L, 303L, 304L, 305L, 306L, 309L, 310L, 311L, 312L, 313L, 314L, 315L, 316L, 321L, 322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 347L, 348L, 349L, 350L, 353L, 354L, 355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L, 370L, 371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L, 403L, 404L, 405L, 406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L, 425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L, 436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L, 458L, 459L, 460L, 461L, 462L, 463L, 464L, 465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 475L, 476L, 477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 488L, 489L, 490L, 491L, 492L, 493L, 494L, 495L, 496L, 497L, 498L, 499L, 500L, 501L, 502L, 503L, 504L, 505L, 506L, 507L, 508L, 509L, 510L, 515L, 516L, 517L, 518L, 519L, 520L, 521L, 522L, 530L, 531L, 532L, 533L, 534L, 535L, 536L, 537L, 538L, 539L, 540L, 541L, 542L, 543L, 544L, 547L, 548L, 551L, 552L, 553L, 554L, 555L, 556L, 557L, 558L, 559L, 560L, 561L, 562L, 563L, 564L, 565L, 566L, 567L, 568L, 569L, 570L, 571L, 576L, 577L, 578L, 579L, 580L, 581L, 582L, 583L, 584L, 585L, 586L, 587L, 588L, 589L, 590L, 591L, 592L, 593L, 594L, 595L, 596L, 597L, 598L, 599L, 600L, 601L, 602L, 603L, 606L, 607L, 608L, 609L, 610L, 611L, 612L, 617L, 618L, 619L, 620L, 621L, 622L, 623L, 624L, 625L, 626L, 627L, 628L, 629L, 630L, 631L, 632L, 633L, 634L, 635L, 636L, 637L, 638L, 639L, 640L, 641L, 642L, 643L, 644L, 645L, 646L, 647L, 648L, 649L, 650L, 651L, 652L, 653L, 654L, 655L, 656L, 657L, 658L, 659L, 662L, 663L, 664L, 665L, 666L, 667L, 670L, 671L, 672L, 673L, 674L, 675L, 680L, 681L, 682L, 683L, 684L, 685L, 692L, 693L, 694L, 697L, 698L, 699L, 700L, 701L, 702L, 703L, 704L, 707L, 708L, 709L, 710L, 711L, 712L, 713L, 714L, 715L, 716L, 717L, 718L, 719L, 720L, 721L, 722L, 731L, 732L, 733L, 734L, 735L, 736L, 737L, 738L, 739L, 740L, 741L, 742L, 743L, 744L, 745L, 746L, 747L, 748L, 749L, 752L, 753L, 754L, 755L, 759L, 760L, 761L, 762L, 763L, 764L, 765L, 766L, 767L, 768L, 769L, 770L, 771L, 772L, 773L, 774L, 775L, 776L, 777L, 778L, 779L, 780L, 781L, 782L, 783L, 784L, 785L, 786L, 787L, 788L, 789L, 790L, 791L, 792L, 793L, 794L, 795L, 796L, 797L, 798L, 799L, 800L, 801L, 802L, 803L, 804L, 805L, 806L), `(pcomb)` = c(NA, 1L, NA, 2L, 3L, NA, 4L, 5L, 6L, NA, 7L, 8L, 9L, 10L, 11L, 12L, NA, 13L, NA, 14L, 15L, 16L, NA, 17L, 18L, NA, 19L, 20L, 21L, NA, 22L, NA, 23L, 24L, NA, 25L, NA, 26L, 27L, NA, 28L, 29L, 30L, NA, 31L, NA, 32L, 33L, NA, 34L, NA, 35L, 36L, NA, 37L, NA, 38L, NA, 39L, 40L, NA, 41L, NA, 42L, NA, 43L, NA, 44L, NA, 45L, NA, 46L, NA, 47L, NA, 48L, 49L, NA, 50L, NA, 51L, NA, 52L, 53L, NA, 54L, 55L, NA, 56L, 57L, 58L, NA, 59L, 60L, NA, 61L, 62L, NA, 63L, NA, 64L, NA, 65L, NA, 66L, NA, 67L, 68L, NA, 69L, 70L, 71L, 72L, 73L, NA, 74L, NA, 75L, NA, 76L, NA, 77L, 78L, NA, 79L, NA, 80L, 81L, 82L, NA, 83L, NA, 84L, 85L, 86L, 87L, NA, 88L, NA, 89L, NA, 90L, NA, 91L, NA, 92L, NA, 93L, NA, 94L, 95L, 96L, 97L, NA, 98L, NA, 99L, 100L, 101L, NA, 102L, 103L, 104L, 105L, NA, 106L, NA, 107L, NA, 108L, 109L, 110L, 111L, NA, 112L, NA, 113L, NA, 114L, NA, 115L, NA, 116L, 117L, 118L, NA, 119L, NA, 120L, NA, 121L, NA, 122L, NA, 123L, NA, 124L, NA, 125L, NA, 126L, NA, 127L, 128L, 129L, NA, 130L, NA, 131L, NA, 132L, NA, 113L, NA, 133L, 134L, NA, 135L, 136L, NA, 137L, 138L, NA, 139L, NA, 140L, NA, 141L, NA, 142L, NA, 143L, 144L, 145L, 146L, 147L, NA, 148L, 149L, 150L, NA, 151L, 152L, 153L, 154L, NA, 155L, 156L, NA, 157L, 158L, 159L, NA, 160L, NA, 161L, 162L, NA, 163L, NA, 164L, NA, 165L, NA, 166L, 167L, NA, 168L, 169L, NA, 170L, NA, 171L, 172L, 173L, NA, 174L, 175L, NA, 176L, 177L, NA, 178L, 179L, 180L, NA, 181L, 182L, 183L, 184L, NA, 185L, NA, 186L, NA, 187L, NA, 188L, NA, 189L, NA, 190L, 191L, 192L, NA, 193L, 194L, 195L, NA, 196L, NA, 197L, NA, 198L, NA, 199L, NA, 200L, NA, 201L, NA, 202L, NA, 203L, NA, 204L, 205L, 206L, NA, 207L, 208L, 209L, 210L, 211L, NA, 212L, 213L, 214L, NA, 215L, 216L, 217L, NA, 218L, 219L, 220L, 221L, 222L, NA, 223L, NA, 224L, NA, 225L, 226L, NA, 227L, 228L, NA, 172L, NA, 229L, 230L, 231L, NA, 232L, NA, 233L, NA, 234L, 235L, 12L, 236L, NA, 237L, NA, 238L, NA, 215L, NA, 239L, NA, 240L, NA, 241L, NA, 110L, NA, 242L, 243L, 244L, NA, 245L, NA, 246L, 247L, 248L, NA, 249L, 250L, 251L, 252L, 253L, NA, 254L, NA, 255L, NA, 256L, NA, 172L, 257L, 258L, NA, 259L, 260L, 261L, NA, 262L, 263L, NA, 33L, 264L, 265L, NA, 266L, 267L, NA, 268L, NA, 269L, NA, 270L, NA, 271L, NA, 272L, NA, 273L, NA, 274L, 275L, NA, 276L, NA, 277L, 278L, 279L, NA, 280L, NA, 281L, 282L, 283L, NA, 284L, NA, 285L, NA, 286L, NA, 287L, NA, 288L, NA, 289L, NA, 290L, NA, 291L, 278L, 292L, 58L, NA, 293L, NA, 294L, 295L, NA, 296L, NA, 297L, 298L, 299L, 300L, 301L, NA, 302L, NA, 303L, NA, 304L, NA, 305L, NA, 306L, NA, 307L, 308L, 309L, 310L, NA, 311L, NA, 312L, NA, 313L, NA, 314L, NA, 315L, NA, 316L, NA, 317L, 318L, NA, 319L, NA, 320L, NA, 321L, 322L, NA, 323L, 324L, NA, 325L, NA, 326L, NA, 327L, 328L, NA, 329L, 330L, NA, 331L, NA, 332L, 333L, 334L, NA, 335L, NA, 336L, NA, 167L, NA, 337L, NA, 338L, 339L, 340L, NA, 341L, NA, 342L, NA, 343L, 344L, NA, 345L, NA, 346L, 347L, NA, 348L, NA, 349L, 350L, 351L, 352L, NA, 31L, 353L, 58L, NA, 354L, NA, 355L, 356L, NA, 357L, NA, 358L, NA, 359L, 360L, NA, 361L, NA, 362L, NA, 95L, 363L, NA, 364L, NA, 365L, 366L, 367L, NA, 368L, NA, 369L, 370L, NA, 371L, 372L, NA, 373L, 374L, 375L, NA, 376L, NA, 377L, NA, 120L, NA, 378L, NA, 379L, 380L, NA, 381L, NA, 382L, NA, 383L, 305L, 384L, NA, 329L, NA, 385L, 386L, 387L, NA, 388L, 389L, 390L, NA, 391L, NA, 264L, NA, 392L, NA, 167L, 393L, 394L, NA, 395L, NA, 396L, NA, 397L, 398L, NA, 399L, NA, 400L, NA, 401L, NA, 402L, NA, 278L, 211L, 403L, NA, 404L, NA, 405L, NA, 406L, NA, 254L, NA, 407L, NA, 304L, NA, 408L, NA, 409L, NA, 410L, NA, 411L, 412L, 413L, NA, 414L, NA, 415L, NA, 416L, 275L, NA, 417L, NA, 418L, NA, 419L, 275L, NA, 420L, NA, 421L, NA, 422L, NA, 423L, NA, 424L, NA, 425L)), mf.agg = list(ollwsdrt = c(1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L), `(subject)` = c(94L, 389L, 9L, 222L, 131L, 36L, 89L, 51L, 188L, 59L, 358L, 406L, 19L, 83L, 56L, 76L, 387L, 186L, 221L, 398L, 188L, 125L, 339L, 76L, 222L, 362L, 275L, 366L, 277L, 362L, 66L, 129L, 190L, 210L, 398L, 335L, 5L, 344L, 294L, 348L, 409L, 229L, 124L, 348L, 413L, 341L, 192L, 291L, 377L, 311L, 135L, 204L, 6L, 277L, 327L, 346L, 80L, 117L, 126L, 197L, 327L, 328L, 401L, 241L, 406L, 268L, 6L, 308L, 260L, 328L, 45L, 237L, 381L, 190L, 192L, 408L, 260L, 246L, 387L, 365L, 249L, 83L, 192L, 198L, 143L, 228L, 387L, 186L, 6L, 219L, 145L, 377L, 305L, 231L, 398L, 23L, 231L, 192L, 407L, 79L, 246L, 324L, 104L, 341L, 377L, 222L, 228L, 228L, 185L, 230L, 297L, 169L, 104L, 365L, 262L, 42L, 186L, 39L, 199L, 327L, 204L, 268L, 129L, 45L, 46L, 222L, 80L, 47L, 391L, 79L, 186L, 313L, 221L, 124L, 278L, 321L, 229L, 150L, 123L, 55L, 84L, 358L, 403L, 5L, 249L, 393L, 150L, 44L, 222L, 411L, 401L, 87L, 8L, 366L, 2L, 313L, 396L, 199L, 206L, 404L, 268L, 169L, 44L, 282L, 327L, 380L, 123L, 7L, 307L, 295L, 126L, 80L, 125L, 8L, 56L, 114L, 62L, 143L, 366L, 31L, 123L, 232L, 397L, 368L, 231L, 395L, 268L, 273L, 12L, 390L, 46L, 79L, 331L, 125L, 330L, 354L, 93L, 15L, 244L, 384L, 399L, 184L, 104L, 400L, 392L, 224L, 29L, 196L, 365L, 235L, 306L, 148L, 385L, 378L, 325L, 219L, 340L, 166L, 194L, 180L, 124L, 202L, 54L, 133L, 1L, 82L, 174L, 172L, 14L, 118L, 78L, 110L, 98L, 53L, 91L, 42L, 73L, 74L, 5L, 160L, 24L, 229L, 23L, 335L, 321L, 380L, 27L, 143L, 114L, 362L, 150L, 66L, 186L, 277L, 56L, 348L, 370L, 379L, 41L, 277L, 417L, 339L, 89L, 382L, 6L, 263L, 306L, 58L, 241L, 308L, 260L, 298L, 346L, 298L, 61L, 55L, 313L, 18L, 25L, 195L, 123L, 328L, 21L, 37L, 260L, 297L, 341L, 331L, 336L, 173L, 216L, 83L, 81L, 8L, 361L, 367L, 148L, 214L, 12L, 66L, 62L, 66L, 349L, 146L, 2L, 123L, 117L, 80L, 146L, 360L, 355L, 268L, 344L, 211L, 276L, 70L, 19L, 129L, 56L, 56L, 308L, 157L, 19L, 6L, 256L, 337L, 342L, 334L, 272L, 148L, 259L, 178L, 287L, 234L, 250L, 76L, 333L, 285L, 169L, 253L, 185L, 312L, 145L, 139L, 263L, 166L, 204L, 166L, 76L, 324L, 12L, 248L, 246L, 291L, 318L, 204L, 289L, 269L, 62L, 319L, 136L, 111L, 49L, 18L, 352L, 323L, 132L, 181L, 232L, 251L, 238L, 303L, 60L, 288L, 185L, 116L, 6L, 310L, 305L, 116L, 212L, 35L, 25L, 221L, 15L, 9L, 176L, 249L, 150L, 136L, 130L, 89L, 196L, 131L, 190L, 219L, 121L, 134L, 60L, 83L, 227L, 304L, 103L, 197L, 88L, 230L, 264L, 257L, 201L, 72L, 255L, 34L, 64L, 199L, 192L, 208L, 135L, 29L, 158L, 220L, 162L, 125L, 40L, 239L, 39L, 96L, 240L, 122L, 32L, 47L, 188L, 309L, 85L, 113L, 16L, 225L, 33L, 108L, 75L, 57L, 95L, 45L, 28L, 97L, 120L, 165L, 68L), `(fromstate)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(time)` = c(12.9035, 1.731, 9.7844, 4.653, 6.2218, 0.3279, 0.1745, 4.5065, 15.9706, 23.5058, 24.0294, 3.0116, 7.5352, 3.4853, 30.9083, 9.54, 2.8693, 5.4504, 1.8775, 4.8036, 15.5517, 19.5544, 8.5791, 4.6749, 4.2177, 4.0287, 3.3778, 7.2745, 10.4764, 3.5688, 16.5866, 8.6386, 0.1964, 15.3101, 5.8385, 3.3539, 12.8939, 12.2834, 8.3032, 3.1403, 2.4675, 20.4867, 34.1958, 3.6194, 2.9001, 4.5661, 18.7023, 6.3614, 0.0999, 20.8131, 43.7077, 6.2375, 16.7775, 13.1951, 6.9144, 4.8042, 2.2977, 1.8809, 15.9001, 7.5572, 7.4155, 24.9767, 5.8042, 4.2669, 3.3566, 10.1403, 12.5175, 5.9986, 11.3525, 25.4942, 20.9165, 6.8166, 1.4483, 0.6591, 19.7728, 1.9843, 8.0753, 7.3977, 2.3135, 6.0568, 37.6934, 13.5058, 19.2005, 12.0281, 4.6092, 2.8063, 3.2717, 4.87, 6.0151, 9.4415, 1.2464, 1.2882, 10.0698, 16.8604, 5.206, 20.4305, 14.6947, 10.6338, 1.8077, 3.1766, 6.7406, 9.5017, 3.1253, 5.0643, 0.5982, 5.8275, 3.3812, 4.0767, 7.5565, 0.7112, 5.6229, 21.577, 2.397, 6.6126, 1.5613, 13.8234, 2.0034, 10.553, 0.9685, 7.9329, 5.4627, 6.0691, 9.0986, 20.1253, 11.9726, 6.5175, 7.3272, 3.1129, 12.1417, 2.3333, 1.1492, 4.2444, 0.9986, 34.6749, 0.8891, 6.4086, 20.9658, 46.2738, 1.2293, 19.9932, 41.8679, 23.0657, 8.9993, 13.373, 38.2519, 4.9671, 47.1937, 12.8357, 4.7926, 4.3244, 4.7502, 6.5476, 7.5407, 7.7153, 29.4839, 5.1068, 3.6366, 1.7351, 1.2033, 13.2279, 10.6605, 16.2738, 13.8515, 2.0999, 5.6906, 2.4654, 2.152, 6.4052, 3.8754, 8.2183, 16.4175, 2.8042, 9.9747, 6.1444, 31.2916, 1.7153, 15.1355, 5.1841, 5.7988, 3.8542, 6.1273, 12.6872, 7.141, 0.8186, 15.3272, 1.9945, 4.5277, 3.1602, 3.1287, 16.0589, 10.412, 3.8282, 12.5613, 8.384, 3.1718, 2.4504, 5.4244, 2.8973, 5.4839, 0.1875, 11.4107, 7.499, 0.705, 13.1472, 0.1869, 10.5565, 19.1595, 12.6229, 4.2745, 1.5202, 3.77, 0.501, 1.2724, 8.5907, 5.3354, 7.5387, 2.1567, 6.3203, 0.6639, 4.7502, 23.9069, 0.0958, 0.9856, 8.4353, 6.4606, 5.5578, 5.2971, 9.5996, 2.987, 14.3648, 8.5893, 15.1896, 1.6824, 1.1999, 2.6721, 1.6153, 1.4312, 8.6153, 0.0753, 0.6769, 7.2752, 3.3121, 1.9049, 1.3415, 4.3826, 3.692, 0.6324, 2.553, 3.1663, 4.4695, 44.1656, 14.4784, 2.7509, 8.3299, 32.7372, 0.9774, 3.1958, 1.0979, 42.5784, 10.9363, 1.3641, 9.0007, 0.4045, 1.9452, 3.7016, 36.4648, 1.3799, 0.7399, 1.7755, 6.527, 5.5647, 0.1075, 5.308, 2.6208, 10.6427, 17.3812, 6.1992, 21.7645, 19.82, 5.9288, 3.4278, 22.2745, 9.9179, 8.8508, 8.6311, 2.8877, 1.7871, 9.7522, 1.1478, 12.3621, 4.1129, 10.5763, 4.0828, 3.1821, 9.6742, 3.3121, 2.3409, 1.4654, 0.0787, 8.2471, 21.4326, 11.3354, 4.8672, 3.4894, 26.3217, 7.6413, 2.3901, 4.1376, 0.2697, 0.8248, 1.6119, 6.8467, 8.9295, 19.7495, 6.2738, 0.1615, 3.9541, 5.0465, 34.9001, 38.5606, 2.2834, 2.0479, 0.2252, 13.0404, 0.4483, 2.2519, 28.9863, 1.7782, 11.0055, 5.358, 0.2108, 4.0883, 1.7687, 0.0712, 2.642, 0.6201, 2.9083, 0.3025, 17.4155, 3.104, 8.2656, 2.2101, 1.8542, 2.8172, 32.2101, 8.2943, 1.1205, 12.5845, 5.0965, 4.9979, 4.6756, 4.2786, 7.9535, 6.8597, 2.8131, 6.7358, 3.4237, 1.4319, 16.5921, 1.5291, 19.1102, 2.8453, 36.2341, 24.4312, 1.0472, 30.5503, 3.1615, 33.2854, 7.3593, 0.1992, 0.4846, 5.3368, 6.399, 4.4778, 12.4709, 12.4949, 6.6037, 4.59, 4.104, 6.4853, 13.0185, 6.2231, 22.4894, 2.2799, 4.5346, 9.8994, 3.3669, 31.4292, 37.8823, 12.8241, 3.0267, 2.6851, 6.3012, 6.3751, 1.1958, 1.1239, 30.2738, 12.1533, 12.1348, 3.8576, 1.6865, 10.729, 9.7529, 0.6222, 5.577, 1.4203, 4.87, 1.679, 4.0322, 28.2683, 1.3655, 6.5955, 3.245, 2.8467, 11.269, 1.64, 35.9651, 11.1732, 17.2991, 4.4189, 6.9925, 11.3518, 2.0986, 0.3641, 2.2738, 4.8679, 8.8172, 2.4394, 0.2005, 3.9179, 16.258, 8.2471, 0.9836, 10.3703, 10.0507, 0.9206, 18.1834, 5.6674, 3.7947, 4.9849, 3.3593, 10.6057, 6.0821, 4.4736, 47.3244, 0.8077, 2.7474), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(obs)` = c(196L, 760L, 24L, 430L, 270L, 74L, 188L, 103L, 367L, 122L, 694L, 793L, 43L, 172L, 112L, 155L, 754L, 364L, 426L, 778L, 366L, 255L, 650L, 153L, 429L, 703L, 535L, 715L, 540L, 702L, 138L, 265L, 370L, 409L, 780L, 644L, 8L, 664L, 563L, 672L, 800L, 446L, 249L, 673L, 804L, 656L, 376L, 560L, 732L, 597L, 280L, 402L, 16L, 542L, 626L, 666L, 163L, 231L, 257L, 388L, 627L, 631L, 787L, 472L, 794L, 519L, 14L, 590L, 503L, 632L, 93L, 463L, 743L, 371L, 378L, 798L, 501L, 477L, 753L, 711L, 483L, 175L, 377L, 390L, 290L, 441L, 755L, 363L, 12L, 421L, 293L, 734L, 582L, 454L, 779L, 50L, 452L, 374L, 796L, 160L, 476L, 621L, 215L, 657L, 733L, 432L, 442L, 443L, 356L, 449L, 568L, 330L, 214L, 712L, 505L, 86L, 361L, 79L, 392L, 628L, 401L, 517L, 266L, 92L, 96L, 433L, 166L, 98L, 764L, 159L, 360L, 601L, 425L, 250L, 544L, 612L, 447L, 305L, 242L, 110L, 177L, 693L, 789L, 9L, 484L, 768L, 306L, 88L, 431L, 802L, 786L, 184L, 22L, 716L, 5L, 602L, 774L, 393L, 405L, 791L, 520L, 328L, 89L, 548L, 625L, 740L, 243L, 18L, 587L, 565L, 258L, 164L, 253L, 21L, 113L, 225L, 129L, 291L, 714L, 64L, 245L, 457L, 776L, 720L, 453L, 772L, 516L, 533L, 28L, 762L, 95L, 161L, 637L, 252L, 634L, 683L, 194L, 33L, 474L, 747L, 782L, 354L, 213L, 784L, 766L, 435L, 62L, 385L, 710L, 461L, 585L, 299L, 749L, 736L, 623L, 420L, 653L, 324L, 380L, 348L, 248L, 398L, 107L, 275L, 2L, 170L, 338L, 334L, 31L, 234L, 157L, 219L, 204L, 105L, 192L, 85L, 146L, 148L, 7L, 314L, 52L, 445L, 49L, 643L, 611L, 741L, 57L, 289L, 226L, 704L, 304L, 137L, 362L, 539L, 114L, 671L, 722L, 738L, 83L, 541L, 806L, 651L, 189L, 745L, 11L, 508L, 584L, 120L, 471L, 591L, 500L, 570L, 667L, 571L, 127L, 109L, 603L, 38L, 54L, 382L, 244L, 630L, 47L, 76L, 502L, 567L, 655L, 636L, 646L, 336L, 417L, 174L, 168L, 20L, 700L, 718L, 300L, 415L, 27L, 135L, 131L, 136L, 675L, 297L, 4L, 246L, 232L, 165L, 296L, 698L, 685L, 518L, 663L, 411L, 537L, 142L, 42L, 264L, 115L, 116L, 589L, 310L, 41L, 15L, 494L, 648L, 659L, 641L, 531L, 301L, 498L, 342L, 554L, 459L, 486L, 152L, 639L, 552L, 329L, 490L, 357L, 599L, 294L, 287L, 507L, 325L, 400L, 326L, 154L, 620L, 29L, 480L, 478L, 561L, 607L, 403L, 558L, 522L, 130L, 609L, 283L, 221L, 101L, 39L, 681L, 618L, 273L, 350L, 456L, 488L, 465L, 577L, 124L, 556L, 358L, 229L, 13L, 595L, 581L, 228L, 413L, 72L, 55L, 427L, 34L, 25L, 340L, 482L, 303L, 282L, 268L, 190L, 384L, 271L, 372L, 419L, 238L, 277L, 125L, 173L, 439L, 579L, 211L, 387L, 186L, 450L, 510L, 496L, 396L, 144L, 492L, 70L, 133L, 394L, 375L, 407L, 279L, 61L, 312L, 423L, 316L, 254L, 81L, 467L, 78L, 200L, 469L, 240L, 66L, 99L, 368L, 593L, 179L, 223L, 36L, 437L, 68L, 217L, 150L, 118L, 198L, 91L, 59L, 202L, 236L, 322L, 140L), `(tostate)` = c(2L, 4L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 4L, 1L, 1L, 4L, 3L, 4L, 3L, 1L, 1L, 4L, 2L, 3L, 1L, 2L, 2L, 2L, 3L, 1L, 4L, 3L, 1L, 2L, 2L, 3L, 2L, 4L, 1L, 3L, 1L, 3L, 3L, 4L, 1L, 2L, 3L, 3L, 1L, 2L, 4L, 3L, 4L, 4L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 1L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 3L, 2L, 1L, 3L, 2L, 3L, 1L, 3L, 2L, 2L, 4L, 3L, 4L, 4L, 4L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 4L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 2L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 3L, 1L, 4L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 1L, 1L, 4L, 2L, 1L, 2L, 3L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 4L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 2L, 4L, 3L, 1L, 4L, 4L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 1L, 4L, 2L, 3L, 1L, 2L, 1L, 2L, 4L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 3L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 1L, 1L), `(timelag)` = c(0.0958000000000006, 0.1068, 0.115, 0.139600000000001, 0.1533, 0.2299, 0.23, 0.2437, 0.2874, 0.3094, 0.325800000000001, 0.345, 0.345000000000001, 0.3723, 0.383299999999998, 0.3833, 0.4024, 0.4024, 0.4024, 0.4024, 0.418899999999999, 0.421599999999998, 0.4216, 0.4216, 0.4353, 0.4408, 0.4408, 0.4408, 0.459899999999999, 0.4599, 0.459900000000001, 0.459999999999999, 0.4627, 0.4627, 0.4709, 0.4764, 0.479099999999999, 0.479099999999999, 0.479099999999999, 0.4791, 0.4791, 0.479100000000003, 0.479100000000003, 0.4792, 0.49, 0.498200000000001, 0.498200000000001, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.500999999999999, 0.5011, 0.5038, 0.5065, 0.5092, 0.5174, 0.5174, 0.5174, 0.517499999999998, 0.5175, 0.5175, 0.5175, 0.520200000000001, 0.5229, 0.5284, 0.5366, 0.5366, 0.5366, 0.5366, 0.5366, 0.5367, 0.539300000000001, 0.5557, 0.5558, 0.5558, 0.5558, 0.5558, 0.558500000000002, 0.572199999999999, 0.572299999999998, 0.5749, 0.5749, 0.5749, 0.575, 0.5804, 0.5886, 0.594100000000001, 0.6078, 0.6132, 0.613299999999999, 0.632400000000001, 0.632499999999999, 0.6325, 0.6325, 0.635199999999999, 0.6516, 0.6516, 0.657100000000001, 0.668000000000001, 0.6707, 0.69, 0.69, 0.69, 0.6955, 0.706300000000001, 0.709099999999999, 0.7091, 0.7145, 0.714599999999997, 0.7283, 0.728300000000001, 0.7474, 0.747400000000001, 0.7475, 0.752999999999998, 0.7666, 0.7666, 0.7748, 0.777600000000001, 0.783000000000001, 0.7912, 0.7967, 0.7994, 0.804899999999999, 0.805, 0.8241, 0.8433, 0.8542, 0.8624, 0.8789, 0.892499999999998, 0.9008, 0.9035, 0.9117, 0.919899999999998, 0.9227, 0.933599999999998, 0.958199999999998, 0.963699999999999, 0.977399999999999, 0.977400000000001, 0.977400000000003, 0.9966, 0.996600000000001, 1.0158, 1.0349, 1.0459, 1.054, 1.0732, 1.076, 1.0814, 1.0924, 1.0924, 1.0924, 1.1116, 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2.6995, 2.7022, 2.7022, 2.7159, 2.7214, 2.7352, 2.779, 2.8091, 2.8638, 2.9076, 2.9295, 2.9295, 2.935, 2.9623, 2.9706, 3.0007, 3.0171, 3.0281, 3.05, 3.0883, 3.0965, 3.143, 3.1431, 3.1567, 3.1622, 3.1623, 3.1787, 3.1896, 3.2197, 3.2334, 3.2854, 3.2936, 3.3539, 3.4305, 3.488, 3.5236, 3.5811, 3.5921, 3.6605, 3.7002, 3.7152, 3.718, 3.7289, 3.7371, 3.7372, 3.7864, 3.7947, 3.7974, 3.8576, 3.8877, 3.8932, 3.937, 3.9452, 4.0055, 4.0247, 4.0548, 4.1204, 4.1424, 4.1615, 4.1917, 4.2053, 4.2136, 4.23, 4.241, 4.2547, 4.2902, 4.3422, 4.4189, 4.4435, 4.5038, 4.5284, 4.5475, 4.5612, 4.6571, 4.6955, 4.7721, 4.783, 4.8296, 4.8405, 4.8679, 4.9309, 5.0322, 5.05410000000001, 5.076, 5.1773, 5.2622, 5.2786, 5.2895, 5.3279, 5.3306, 5.4456, 5.462, 5.7358, 5.8015, 5.8535, 5.8809, 5.9138, 5.9302, 5.9658, 6.0096, 6.0917, 6.152, 6.1711, 6.2095, 6.2368, 6.2478, 6.256, 6.2642, 6.2833, 6.2861, 6.3053, 6.319, 6.3217, 6.3217, 6.36, 6.4148, 6.4586, 6.5243, 6.6804, 6.7187, 6.7625, 6.7898, 6.8118, 6.935, 6.9788, 7.2169, 7.2662, 7.3018, 7.3374, 7.3703, 7.3785, 7.3785, 7.4032, 7.4086, 7.4333, 7.4935, 7.7426, 7.9863, 8.0904, 8.1615, 8.1861, 8.2026, 8.2053, 8.2601, 8.2792, 8.3285, 8.3368, 8.3532, 8.5394, 8.5968, 8.7338, 8.8515, 8.9473, 8.9473, 9.0431, 9.2129, 9.2184, 9.2347, 9.2566, 9.3443, 9.4182, 9.5196, 9.6564, 9.7331, 9.7358, 9.848, 9.9822), `(nocc)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(whicha)` = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 17L, 18L, 19L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 45L, 45L, 46L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 56L, 56L, 57L, 58L, 59L, 60L, 60L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 66L, 66L, 67L, 68L, 69L, 70L, 71L, 71L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L, 178L, 179L, 179L, 180L, 181L, 182L, 183L, 184L, 185L, 186L, 187L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 205L, 206L, 207L, 208L, 209L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 218L, 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npars = 3, imatrix = c(0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0), qmatrix = c(-0.0578991440335294, 0, 0, 0, 0.0578991440335294, -0.0719671944740709, 0, 0, 0, 0.0719671944740709, -0.169691377247322, 0, 0, 0, 0.169691377247322, 0), inits = c(0.0578991440335294, 0.0719671944740709, 0.169691377247322 ), constr = 1:3, ndpars = 3L, expm = 1), qcmodel = list(npars = 6, ndpars = 6L, ncovs = 2, constr = 1:6, covlabels = c("ollwsdrt", "hieffusn"), inits = c(0, 0, 0, 0, 0, 0), covmeans = c(ollwsdrt = 0.309576837416481, hieffusn = 0.167037861915367)), cmodel = list(ncens = 0, censor = NULL, states = NULL, states_list = NULL, index = NULL), hmodel = list(hidden = FALSE, models = c(0, 0, 0, 0), nipars = 0, nicoveffs = 0, totpars = 0, ncoveffs = 0, ematrix = FALSE))
7: do.call(optfn, args)
8: msm.optim(opt.method, p, hessian, use.deriv, msmdata, qmodel, qcmodel, cmodel, hmodel, ...)
9: msm::msm(state ~ months, subject = ptnum, data = msm::psor, qmatrix = Qind, gen.inits = TRUE, covariates = ~ollwsdrt + hieffusn)
An irrecoverable exception occurred. R is aborting now ...
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.0.0
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘fic.Rnw’ using knitr
--- finished re-building ‘fic.Rnw’
--- re-building ‘linear.Rnw’ using knitr
--- finished re-building ‘linear.Rnw’
--- re-building ‘loss.Rnw’ using knitr
--- finished re-building ‘loss.Rnw’
--- re-building ‘multistate.Rnw’ using knitr
*** caught segfault ***
address 0x1, cause 'memory not mapped'
Traceback:
1: Ccall.msm(params, do.what = "lik", ...)
2: fn(par, ...)
3: (function (par) fn(par, ...))(c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0))
4: optim(method = "BFGS", control = list(), par = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), fn = function (params, ...) { assign("nliks", get("nliks", msm.globals) + 1, envir = msm.globals) args <- list(...) w <- args$msmdata$subject.weights if (!is.null(w)) { lik <- Ccall.msm(params, do.what = "lik.subj", ...) sum(w * lik) } else Ccall.msm(params, do.what = "lik", ...)}, hessian = TRUE, gr = function (params, ...) { w <- list(...)$msmdata$subject.weights if (!is.null(w)) { deriv <- Ccall.msm(params, do.what = "deriv.subj", ...) apply(w * deriv, 2, sum) } else Ccall.msm(params, do.what = "deriv", ...)}, msmdata = list(mf = list(ollwsdrt = c(1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L), `(subject)` = c(1L, 1L, 2L, 2L, 2L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 12L, 12L, 12L, 12L, 14L, 14L, 15L, 15L, 15L, 16L, 16L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 21L, 21L, 23L, 23L, 23L, 24L, 24L, 25L, 25L, 25L, 27L, 27L, 28L, 28L, 29L, 29L, 29L, 31L, 31L, 32L, 32L, 33L, 33L, 34L, 34L, 35L, 35L, 36L, 36L, 37L, 37L, 39L, 39L, 39L, 40L, 40L, 41L, 41L, 42L, 42L, 42L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 47L, 47L, 47L, 49L, 49L, 51L, 51L, 53L, 53L, 54L, 54L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 58L, 58L, 59L, 59L, 60L, 60L, 60L, 61L, 61L, 62L, 62L, 62L, 62L, 64L, 64L, 66L, 66L, 66L, 66L, 66L, 68L, 68L, 70L, 70L, 72L, 72L, 73L, 73L, 74L, 74L, 75L, 75L, 76L, 76L, 76L, 76L, 76L, 78L, 78L, 79L, 79L, 79L, 79L, 80L, 80L, 80L, 80L, 80L, 81L, 81L, 82L, 82L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 85L, 85L, 87L, 87L, 88L, 88L, 89L, 89L, 89L, 89L, 91L, 91L, 93L, 93L, 94L, 94L, 95L, 95L, 96L, 96L, 97L, 97L, 98L, 98L, 103L, 103L, 104L, 104L, 104L, 104L, 108L, 108L, 110L, 110L, 111L, 111L, 113L, 113L, 114L, 114L, 114L, 116L, 116L, 116L, 117L, 117L, 117L, 118L, 118L, 120L, 120L, 121L, 121L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 124L, 124L, 124L, 124L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 129L, 129L, 129L, 129L, 130L, 130L, 131L, 131L, 131L, 132L, 132L, 133L, 133L, 134L, 134L, 135L, 135L, 135L, 136L, 136L, 136L, 139L, 139L, 143L, 143L, 143L, 143L, 145L, 145L, 145L, 146L, 146L, 146L, 148L, 148L, 148L, 148L, 150L, 150L, 150L, 150L, 150L, 157L, 157L, 158L, 158L, 160L, 160L, 162L, 162L, 165L, 165L, 166L, 166L, 166L, 166L, 169L, 169L, 169L, 169L, 172L, 172L, 173L, 173L, 174L, 174L, 176L, 176L, 178L, 178L, 180L, 180L, 181L, 181L, 184L, 184L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 188L, 188L, 188L, 188L, 190L, 190L, 190L, 190L, 192L, 192L, 192L, 192L, 192L, 192L, 194L, 194L, 195L, 195L, 196L, 196L, 196L, 197L, 197L, 197L, 198L, 198L, 199L, 199L, 199L, 199L, 201L, 201L, 202L, 202L, 204L, 204L, 204L, 204L, 204L, 206L, 206L, 208L, 208L, 210L, 210L, 211L, 211L, 212L, 212L, 214L, 214L, 216L, 216L, 219L, 219L, 219L, 219L, 220L, 220L, 221L, 221L, 221L, 221L, 222L, 222L, 222L, 222L, 222L, 222L, 224L, 224L, 225L, 225L, 227L, 227L, 228L, 228L, 228L, 228L, 229L, 229L, 229L, 229L, 230L, 230L, 230L, 231L, 231L, 231L, 231L, 232L, 232L, 232L, 234L, 234L, 235L, 235L, 237L, 237L, 238L, 238L, 239L, 239L, 240L, 240L, 241L, 241L, 241L, 244L, 244L, 246L, 246L, 246L, 246L, 248L, 248L, 249L, 249L, 249L, 249L, 250L, 250L, 251L, 251L, 253L, 253L, 255L, 255L, 256L, 256L, 257L, 257L, 259L, 259L, 260L, 260L, 260L, 260L, 260L, 262L, 262L, 263L, 263L, 263L, 264L, 264L, 268L, 268L, 268L, 268L, 268L, 268L, 269L, 269L, 272L, 272L, 273L, 273L, 275L, 275L, 276L, 276L, 277L, 277L, 277L, 277L, 277L, 278L, 278L, 282L, 282L, 285L, 285L, 287L, 287L, 288L, 288L, 289L, 289L, 291L, 291L, 291L, 294L, 294L, 295L, 295L, 297L, 297L, 297L, 298L, 298L, 298L, 303L, 303L, 304L, 304L, 305L, 305L, 305L, 306L, 306L, 306L, 307L, 307L, 308L, 308L, 308L, 308L, 309L, 309L, 310L, 310L, 311L, 311L, 312L, 312L, 313L, 313L, 313L, 313L, 318L, 318L, 319L, 319L, 321L, 321L, 321L, 323L, 323L, 324L, 324L, 324L, 325L, 325L, 327L, 327L, 327L, 327L, 327L, 328L, 328L, 328L, 328L, 330L, 330L, 331L, 331L, 331L, 333L, 333L, 334L, 334L, 335L, 335L, 335L, 336L, 336L, 337L, 337L, 339L, 339L, 339L, 340L, 340L, 341L, 341L, 341L, 341L, 342L, 342L, 344L, 344L, 344L, 346L, 346L, 346L, 348L, 348L, 348L, 348L, 349L, 349L, 352L, 352L, 354L, 354L, 355L, 355L, 358L, 358L, 358L, 360L, 360L, 361L, 361L, 362L, 362L, 362L, 362L, 364L, 364L, 365L, 365L, 365L, 365L, 366L, 366L, 366L, 366L, 367L, 367L, 368L, 368L, 370L, 370L, 377L, 377L, 377L, 377L, 378L, 378L, 379L, 379L, 380L, 380L, 380L, 381L, 381L, 382L, 382L, 384L, 384L, 385L, 385L, 387L, 387L, 387L, 387L, 389L, 389L, 390L, 390L, 391L, 391L, 392L, 392L, 393L, 393L, 394L, 394L, 395L, 395L, 396L, 396L, 397L, 397L, 398L, 398L, 398L, 398L, 399L, 399L, 400L, 400L, 401L, 401L, 401L, 403L, 403L, 404L, 404L, 406L, 406L, 406L, 407L, 407L, 408L, 408L, 409L, 409L, 411L, 411L, 413L, 413L, 417L, 417L), `(state)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(time)` = c(6.4606, 17.078, 26.3217, 29.4839, 30.5763, 0.0753, 12.8939, 13.373, 14.3504, 3.7016, 6.0151, 6.6037, 12.5175, 13.0404, 16.7775, 17.2758, 6.4052, 7.6893, 3.1821, 6.1444, 7.5407, 8.6167, 9.7844, 9.8994, 16.1472, 0.0787, 3.1287, 4.6756, 9.204, 2.987, 13.9713, 2.8973, 4.5346, 10.7714, 10.0507, 19.0938, 21.7645, 24.4312, 29.5072, 0.2252, 3.9541, 7.5352, 7.8802, 9.9179, 12.6201, 1.9049, 20.4305, 21.063, 7.2752, 21.1944, 19.82, 22.4894, 28.6605, 0.6324, 2.6831, 6.0821, 15.7385, 11.1732, 19.1595, 20.9227, 3.8542, 5.3463, 0.2005, 8.7399, 18.1834, 27.4018, 6.5955, 13.974, 6.2231, 12.3751, 0.3279, 0.5578, 8.8508, 11.5667, 2.2738, 10.553, 11.306, 2.0986, 10.3039, 42.5784, 44.807, 1.6153, 13.8234, 14.5708, 12.8357, 13.8515, 14.9986, 10.6057, 20.1253, 20.9165, 21.4531, 10.412, 11.9726, 12.7693, 3.1129, 3.9179, 12.5147, 36.2341, 41.2882, 4.5065, 4.7502, 1.1999, 13.2327, 0.9856, 11.4278, 17.3812, 19.9932, 20.9268, 30.9083, 31.2916, 32.7372, 34.9001, 38.5606, 42.2608, 4.9849, 14.3292, 0.7399, 3.193, 23.5058, 23.8152, 6.399, 12.1348, 18.8152, 10.6427, 13.2491, 15.1355, 16.5921, 21.4326, 24.5291, 3.245, 10.6482, 8.2471, 11.3354, 14.4784, 16.5866, 17.0465, 2.7474, 12.7296, 0.1615, 3.6851, 28.2683, 35.6386, 1.4312, 13.9788, 8.6153, 21.2149, 3.7947, 13.0513, 0.6201, 4.6749, 5.0965, 9.54, 9.9233, 8.5893, 19.8556, 2.3333, 3.1766, 3.8282, 5.3997, 2.2977, 2.8042, 4.1376, 7.3272, 8.1321, 4.0828, 7.0178, 5.5578, 16.2491, 3.4853, 3.8576, 10.5763, 13.5058, 14.078, 41.8679, 42.8261, 0.9836, 9.9309, 6.5476, 7.6208, 5.577, 12.5558, 0.1745, 0.4045, 2.6851, 9.0041, 2.6721, 14.7817, 5.4244, 7.0342, 12.9035, 12.9993, 3.3593, 12.7775, 4.8679, 13.1964, 4.4736, 14.2067, 1.6824, 13.2717, 9.7529, 16.5647, 0.705, 2.397, 3.1253, 3.796, 5.6674, 14.9021, 15.1896, 26.5927, 2.8453, 7.8775, 10.3703, 19.3176, 1.7153, 3.1663, 5.2334, 6.4853, 12.4949, 18.3758, 1.8809, 2.3901, 5.5688, 14.3648, 25.4312, 47.3244, 57.0602, 30.2738, 36.7324, 2.4394, 10.7926, 1.2293, 2.152, 3.4278, 6.1273, 7.6413, 10.8036, 23.9069, 34.1958, 34.6749, 35.5674, 8.384, 9.9747, 11.3518, 19.5544, 19.976, 15.9001, 16.4175, 17.729, 5.0465, 8.6386, 9.0986, 9.8816, 3.0267, 9.332, 6.2218, 6.3751, 12.6968, 3.1615, 8.4401, 8.4353, 18.9487, 12.1533, 18.6776, 35.9651, 43.7077, 44.206, 12.8241, 19.1102, 24.0411, 2.8172, 7.0582, 2.553, 4.6092, 5.1841, 6.6571, 1.2464, 1.8542, 6.0842, 0.2697, 3.4894, 6.6461, 0.501, 2.3409, 5.358, 9.2457, 37.8823, 44.1656, 46.2738, 47.1937, 48.1903, 2.0479, 5.7659, 17.2991, 25.3895, 0.6769, 14.3087, 6.9925, 15.1786, 0.8077, 10.6557, 6.3203, 8.2943, 12.5845, 17.0034, 16.2738, 17.4155, 21.577, 22.2916, 9.5996, 20.384, 12.3621, 15.2697, 5.2971, 16.0157, 3.3669, 9.6229, 4.0883, 8.0253, 4.7502, 14.8966, 33.2854, 38.5749, 7.499, 9.1855, 7.5565, 8.2656, 12.4709, 18.3244, 1.1492, 2.0034, 2.7509, 4.87, 5.4504, 5.8528, 15.5517, 15.9706, 16.258, 24.9918, 0.1964, 0.6591, 1.1958, 7.5558, 10.6338, 11.269, 18.7023, 19.2005, 19.7728, 20.3121, 0.6639, 10.6954, 5.9288, 8.6146, 6.3012, 12.6229, 14.3888, 0.6222, 7.5572, 8.0746, 12.0281, 12.603, 0.9685, 1.7351, 2.8467, 10.2553, 4.0322, 11.3696, 0.0958, 10.4805, 1.1205, 5.4627, 6.2375, 6.7358, 11.5079, 1.2033, 2.3258, 1.64, 9.1335, 15.3101, 15.7728, 19.7495, 23.18, 13.0185, 19.1102, 1.4654, 4.4935, 4.1129, 7.0424, 1.1239, 7.5387, 9.4415, 10.0356, 4.4189, 12.5804, 0.9986, 1.8775, 2.2799, 8.4894, 4.2177, 4.653, 4.7926, 5.8275, 6.5175, 7.3169, 10.5565, 12.3196, 0.9206, 10.1335, 1.6865, 8.449, 2.8063, 3.3812, 4.0767, 4.783, 3.3121, 20.4867, 20.9658, 21.8775, 0.7112, 1.4203, 8.6372, 14.6947, 15.3272, 16.8604, 17.4928, 7.3593, 12.6872, 14.2012, 0.0712, 4.0767, 1.5202, 3.3409, 6.8166, 7.3532, 0.4846, 5.9302, 0.3641, 8.6242, 8.8172, 17.154, 1.7755, 4.2669, 4.7844, 5.4839, 7.1485, 6.7406, 7.3977, 7.9535, 12.5147, 4.2786, 8.8261, 31.4292, 37.6934, 38.2519, 39.2293, 2.642, 6.6667, 0.1992, 5.5298, 3.104, 7.2957, 1.3655, 8.744, 0.4483, 4.1855, 1.679, 8.9808, 0.2108, 4.104, 5.5647, 8.0753, 8.6311, 11.3525, 11.8891, 1.5613, 2.3087, 32.2101, 36.4648, 38.7837, 4.87, 12.1362, 4.5277, 6.0691, 6.8467, 10.1403, 10.6605, 11.7912, 1.4319, 6.2615, 11.0055, 14.8631, 3.1602, 4.7043, 3.3778, 3.8186, 6.2738, 9.7618, 8.3299, 10.4764, 10.9363, 13.1951, 13.6961, 0.8891, 1.7899, 2.0999, 3.2827, 0.3025, 4.4449, 1.7687, 5.7139, 4.4778, 10.2793, 3.4237, 8.2067, 6.3614, 6.8597, 11.5168, 8.3032, 8.7823, 8.2183, 9.5216, 2.8877, 5.6229, 6.3374, 0.1075, 2.6208, 5.2245, 5.3368, 10.7988, 10.729, 17.5188, 4.104, 10.0698, 10.6831, 1.3799, 3.77, 5.5989, 3.8754, 5.1786, 2.2834, 5.9986, 6.527, 9.0267, 8.2471, 17.0986, 4.59, 10.5202, 20.8131, 21.3114, 2.2101, 6.4237, 4.2444, 5.1068, 6.1992, 8.8658, 2.8131, 7.5086, 1.5291, 6.397, 4.3826, 6.4086, 7.3121, 30.5503, 35.8125, 4.9979, 9.5017, 10.1697, 5.3354, 7.23, 5.6906, 6.9144, 7.4155, 7.9329, 8.6995, 22.2745, 24.9767, 25.4942, 26.0308, 3.1718, 4.7625, 9.7522, 12.5613, 14.1492, 2.9083, 7.0287, 1.7782, 5.5756, 1.3415, 3.3539, 3.8303, 1.1478, 4.0116, 2.2519, 6.0383, 8.5791, 9.0007, 11.2621, 2.1567, 4.065, 1.7871, 4.5661, 5.0643, 5.7543, 28.9863, 32.781, 8.9295, 12.2834, 12.7625, 4.8042, 5.308, 7.8378, 0.9774, 3.1403, 3.6194, 4.0986, 4.8672, 8.0103, 1.0472, 6.2245, 2.4504, 4.0602, 1.6119, 4.8973, 23.0657, 24.0294, 24.3552, 0.8248, 4.0582, 9.6742, 12.6448, 3.5688, 4.0287, 4.4695, 6.5585, 2.755, 5.1451, 4.2745, 6.0568, 6.6126, 7.3409, 5.7988, 7.2745, 7.7153, 8.7967, 3.3121, 6.3128, 0.8186, 2.3518, 3.1958, 5.4189, 0.0999, 0.5982, 1.2882, 1.9014, 8.5907, 10.4634, 1.0979, 3.321, 2.4654, 3.692, 5.7426, 1.4483, 1.9849, 1.9452, 4.2368, 0.1875, 1.8576, 1.2724, 3.1259, 2.3135, 2.8693, 3.2717, 3.8467, 1.731, 1.8378, 16.0589, 17.614, 12.1417, 12.9658, 0.1869, 1.95, 4.9671, 5.9637, 1.7365, 3.2806, 1.9945, 3.5332, 3.6366, 4.729, 7.141, 8.655, 4.8036, 5.206, 5.8385, 6.3094, 11.4107, 13.0945, 13.1472, 14.8528, 4.7502, 5.8042, 6.3217, 8.9993, 9.9767, 13.2279, 14.3504, 3.0116, 3.3566, 3.8741, 1.8077, 2.4593, 1.9843, 2.54, 2.4675, 2.9466, 4.3244, 5.3703, 2.9001, 3.3901, 1.3641, 3.6229), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(obs)` = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L, 178L, 179L, 183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 218L, 219L, 220L, 221L, 222L, 223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L, 256L, 257L, 258L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 286L, 287L, 288L, 289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 299L, 300L, 301L, 302L, 303L, 304L, 305L, 306L, 309L, 310L, 311L, 312L, 313L, 314L, 315L, 316L, 321L, 322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 347L, 348L, 349L, 350L, 353L, 354L, 355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L, 370L, 371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L, 403L, 404L, 405L, 406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L, 425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L, 436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L, 458L, 459L, 460L, 461L, 462L, 463L, 464L, 465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 475L, 476L, 477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 488L, 489L, 490L, 491L, 492L, 493L, 494L, 495L, 496L, 497L, 498L, 499L, 500L, 501L, 502L, 503L, 504L, 505L, 506L, 507L, 508L, 509L, 510L, 515L, 516L, 517L, 518L, 519L, 520L, 521L, 522L, 530L, 531L, 532L, 533L, 534L, 535L, 536L, 537L, 538L, 539L, 540L, 541L, 542L, 543L, 544L, 547L, 548L, 551L, 552L, 553L, 554L, 555L, 556L, 557L, 558L, 559L, 560L, 561L, 562L, 563L, 564L, 565L, 566L, 567L, 568L, 569L, 570L, 571L, 576L, 577L, 578L, 579L, 580L, 581L, 582L, 583L, 584L, 585L, 586L, 587L, 588L, 589L, 590L, 591L, 592L, 593L, 594L, 595L, 596L, 597L, 598L, 599L, 600L, 601L, 602L, 603L, 606L, 607L, 608L, 609L, 610L, 611L, 612L, 617L, 618L, 619L, 620L, 621L, 622L, 623L, 624L, 625L, 626L, 627L, 628L, 629L, 630L, 631L, 632L, 633L, 634L, 635L, 636L, 637L, 638L, 639L, 640L, 641L, 642L, 643L, 644L, 645L, 646L, 647L, 648L, 649L, 650L, 651L, 652L, 653L, 654L, 655L, 656L, 657L, 658L, 659L, 662L, 663L, 664L, 665L, 666L, 667L, 670L, 671L, 672L, 673L, 674L, 675L, 680L, 681L, 682L, 683L, 684L, 685L, 692L, 693L, 694L, 697L, 698L, 699L, 700L, 701L, 702L, 703L, 704L, 707L, 708L, 709L, 710L, 711L, 712L, 713L, 714L, 715L, 716L, 717L, 718L, 719L, 720L, 721L, 722L, 731L, 732L, 733L, 734L, 735L, 736L, 737L, 738L, 739L, 740L, 741L, 742L, 743L, 744L, 745L, 746L, 747L, 748L, 749L, 752L, 753L, 754L, 755L, 759L, 760L, 761L, 762L, 763L, 764L, 765L, 766L, 767L, 768L, 769L, 770L, 771L, 772L, 773L, 774L, 775L, 776L, 777L, 778L, 779L, 780L, 781L, 782L, 783L, 784L, 785L, 786L, 787L, 788L, 789L, 790L, 791L, 792L, 793L, 794L, 795L, 796L, 797L, 798L, 799L, 800L, 801L, 802L, 803L, 804L, 805L, 806L), `(pcomb)` = c(NA, 1L, NA, 2L, 3L, NA, 4L, 5L, 6L, NA, 7L, 8L, 9L, 10L, 11L, 12L, NA, 13L, NA, 14L, 15L, 16L, NA, 17L, 18L, NA, 19L, 20L, 21L, NA, 22L, NA, 23L, 24L, NA, 25L, NA, 26L, 27L, NA, 28L, 29L, 30L, NA, 31L, NA, 32L, 33L, NA, 34L, NA, 35L, 36L, NA, 37L, NA, 38L, NA, 39L, 40L, NA, 41L, NA, 42L, NA, 43L, NA, 44L, NA, 45L, NA, 46L, NA, 47L, NA, 48L, 49L, NA, 50L, NA, 51L, NA, 52L, 53L, NA, 54L, 55L, NA, 56L, 57L, 58L, NA, 59L, 60L, NA, 61L, 62L, NA, 63L, NA, 64L, NA, 65L, NA, 66L, NA, 67L, 68L, NA, 69L, 70L, 71L, 72L, 73L, NA, 74L, NA, 75L, NA, 76L, NA, 77L, 78L, NA, 79L, NA, 80L, 81L, 82L, NA, 83L, NA, 84L, 85L, 86L, 87L, NA, 88L, NA, 89L, NA, 90L, NA, 91L, NA, 92L, NA, 93L, NA, 94L, 95L, 96L, 97L, NA, 98L, NA, 99L, 100L, 101L, NA, 102L, 103L, 104L, 105L, NA, 106L, NA, 107L, NA, 108L, 109L, 110L, 111L, NA, 112L, NA, 113L, NA, 114L, NA, 115L, NA, 116L, 117L, 118L, NA, 119L, NA, 120L, NA, 121L, NA, 122L, NA, 123L, NA, 124L, NA, 125L, NA, 126L, NA, 127L, 128L, 129L, NA, 130L, NA, 131L, NA, 132L, NA, 113L, NA, 133L, 134L, NA, 135L, 136L, NA, 137L, 138L, NA, 139L, NA, 140L, NA, 141L, NA, 142L, NA, 143L, 144L, 145L, 146L, 147L, NA, 148L, 149L, 150L, NA, 151L, 152L, 153L, 154L, NA, 155L, 156L, NA, 157L, 158L, 159L, NA, 160L, NA, 161L, 162L, NA, 163L, NA, 164L, NA, 165L, NA, 166L, 167L, NA, 168L, 169L, NA, 170L, NA, 171L, 172L, 173L, NA, 174L, 175L, NA, 176L, 177L, NA, 178L, 179L, 180L, NA, 181L, 182L, 183L, 184L, NA, 185L, NA, 186L, NA, 187L, NA, 188L, NA, 189L, NA, 190L, 191L, 192L, NA, 193L, 194L, 195L, NA, 196L, NA, 197L, NA, 198L, NA, 199L, NA, 200L, NA, 201L, NA, 202L, NA, 203L, NA, 204L, 205L, 206L, NA, 207L, 208L, 209L, 210L, 211L, NA, 212L, 213L, 214L, NA, 215L, 216L, 217L, NA, 218L, 219L, 220L, 221L, 222L, NA, 223L, NA, 224L, NA, 225L, 226L, NA, 227L, 228L, NA, 172L, NA, 229L, 230L, 231L, NA, 232L, NA, 233L, NA, 234L, 235L, 12L, 236L, NA, 237L, NA, 238L, NA, 215L, NA, 239L, NA, 240L, NA, 241L, NA, 110L, NA, 242L, 243L, 244L, NA, 245L, NA, 246L, 247L, 248L, NA, 249L, 250L, 251L, 252L, 253L, NA, 254L, NA, 255L, NA, 256L, NA, 172L, 257L, 258L, NA, 259L, 260L, 261L, NA, 262L, 263L, NA, 33L, 264L, 265L, NA, 266L, 267L, NA, 268L, NA, 269L, NA, 270L, NA, 271L, NA, 272L, NA, 273L, NA, 274L, 275L, NA, 276L, NA, 277L, 278L, 279L, NA, 280L, NA, 281L, 282L, 283L, NA, 284L, NA, 285L, NA, 286L, NA, 287L, NA, 288L, NA, 289L, NA, 290L, NA, 291L, 278L, 292L, 58L, NA, 293L, NA, 294L, 295L, NA, 296L, NA, 297L, 298L, 299L, 300L, 301L, NA, 302L, NA, 303L, NA, 304L, NA, 305L, NA, 306L, NA, 307L, 308L, 309L, 310L, NA, 311L, NA, 312L, NA, 313L, NA, 314L, NA, 315L, NA, 316L, NA, 317L, 318L, NA, 319L, NA, 320L, NA, 321L, 322L, NA, 323L, 324L, NA, 325L, NA, 326L, NA, 327L, 328L, NA, 329L, 330L, NA, 331L, NA, 332L, 333L, 334L, NA, 335L, NA, 336L, NA, 167L, NA, 337L, NA, 338L, 339L, 340L, NA, 341L, NA, 342L, NA, 343L, 344L, NA, 345L, NA, 346L, 347L, NA, 348L, NA, 349L, 350L, 351L, 352L, NA, 31L, 353L, 58L, NA, 354L, NA, 355L, 356L, NA, 357L, NA, 358L, NA, 359L, 360L, NA, 361L, NA, 362L, NA, 95L, 363L, NA, 364L, NA, 365L, 366L, 367L, NA, 368L, NA, 369L, 370L, NA, 371L, 372L, NA, 373L, 374L, 375L, NA, 376L, NA, 377L, NA, 120L, NA, 378L, NA, 379L, 380L, NA, 381L, NA, 382L, NA, 383L, 305L, 384L, NA, 329L, NA, 385L, 386L, 387L, NA, 388L, 389L, 390L, NA, 391L, NA, 264L, NA, 392L, NA, 167L, 393L, 394L, NA, 395L, NA, 396L, NA, 397L, 398L, NA, 399L, NA, 400L, NA, 401L, NA, 402L, NA, 278L, 211L, 403L, NA, 404L, NA, 405L, NA, 406L, NA, 254L, NA, 407L, NA, 304L, NA, 408L, NA, 409L, NA, 410L, NA, 411L, 412L, 413L, NA, 414L, NA, 415L, NA, 416L, 275L, NA, 417L, NA, 418L, NA, 419L, 275L, NA, 420L, NA, 421L, NA, 422L, NA, 423L, NA, 424L, NA, 425L)), mf.agg = list(ollwsdrt = c(1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L), `(subject)` = c(94L, 389L, 9L, 222L, 131L, 36L, 89L, 51L, 188L, 59L, 358L, 406L, 19L, 83L, 56L, 76L, 387L, 186L, 221L, 398L, 188L, 125L, 339L, 76L, 222L, 362L, 275L, 366L, 277L, 362L, 66L, 129L, 190L, 210L, 398L, 335L, 5L, 344L, 294L, 348L, 409L, 229L, 124L, 348L, 413L, 341L, 192L, 291L, 377L, 311L, 135L, 204L, 6L, 277L, 327L, 346L, 80L, 117L, 126L, 197L, 327L, 328L, 401L, 241L, 406L, 268L, 6L, 308L, 260L, 328L, 45L, 237L, 381L, 190L, 192L, 408L, 260L, 246L, 387L, 365L, 249L, 83L, 192L, 198L, 143L, 228L, 387L, 186L, 6L, 219L, 145L, 377L, 305L, 231L, 398L, 23L, 231L, 192L, 407L, 79L, 246L, 324L, 104L, 341L, 377L, 222L, 228L, 228L, 185L, 230L, 297L, 169L, 104L, 365L, 262L, 42L, 186L, 39L, 199L, 327L, 204L, 268L, 129L, 45L, 46L, 222L, 80L, 47L, 391L, 79L, 186L, 313L, 221L, 124L, 278L, 321L, 229L, 150L, 123L, 55L, 84L, 358L, 403L, 5L, 249L, 393L, 150L, 44L, 222L, 411L, 401L, 87L, 8L, 366L, 2L, 313L, 396L, 199L, 206L, 404L, 268L, 169L, 44L, 282L, 327L, 380L, 123L, 7L, 307L, 295L, 126L, 80L, 125L, 8L, 56L, 114L, 62L, 143L, 366L, 31L, 123L, 232L, 397L, 368L, 231L, 395L, 268L, 273L, 12L, 390L, 46L, 79L, 331L, 125L, 330L, 354L, 93L, 15L, 244L, 384L, 399L, 184L, 104L, 400L, 392L, 224L, 29L, 196L, 365L, 235L, 306L, 148L, 385L, 378L, 325L, 219L, 340L, 166L, 194L, 180L, 124L, 202L, 54L, 133L, 1L, 82L, 174L, 172L, 14L, 118L, 78L, 110L, 98L, 53L, 91L, 42L, 73L, 74L, 5L, 160L, 24L, 229L, 23L, 335L, 321L, 380L, 27L, 143L, 114L, 362L, 150L, 66L, 186L, 277L, 56L, 348L, 370L, 379L, 41L, 277L, 417L, 339L, 89L, 382L, 6L, 263L, 306L, 58L, 241L, 308L, 260L, 298L, 346L, 298L, 61L, 55L, 313L, 18L, 25L, 195L, 123L, 328L, 21L, 37L, 260L, 297L, 341L, 331L, 336L, 173L, 216L, 83L, 81L, 8L, 361L, 367L, 148L, 214L, 12L, 66L, 62L, 66L, 349L, 146L, 2L, 123L, 117L, 80L, 146L, 360L, 355L, 268L, 344L, 211L, 276L, 70L, 19L, 129L, 56L, 56L, 308L, 157L, 19L, 6L, 256L, 337L, 342L, 334L, 272L, 148L, 259L, 178L, 287L, 234L, 250L, 76L, 333L, 285L, 169L, 253L, 185L, 312L, 145L, 139L, 263L, 166L, 204L, 166L, 76L, 324L, 12L, 248L, 246L, 291L, 318L, 204L, 289L, 269L, 62L, 319L, 136L, 111L, 49L, 18L, 352L, 323L, 132L, 181L, 232L, 251L, 238L, 303L, 60L, 288L, 185L, 116L, 6L, 310L, 305L, 116L, 212L, 35L, 25L, 221L, 15L, 9L, 176L, 249L, 150L, 136L, 130L, 89L, 196L, 131L, 190L, 219L, 121L, 134L, 60L, 83L, 227L, 304L, 103L, 197L, 88L, 230L, 264L, 257L, 201L, 72L, 255L, 34L, 64L, 199L, 192L, 208L, 135L, 29L, 158L, 220L, 162L, 125L, 40L, 239L, 39L, 96L, 240L, 122L, 32L, 47L, 188L, 309L, 85L, 113L, 16L, 225L, 33L, 108L, 75L, 57L, 95L, 45L, 28L, 97L, 120L, 165L, 68L), `(fromstate)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(time)` = c(12.9035, 1.731, 9.7844, 4.653, 6.2218, 0.3279, 0.1745, 4.5065, 15.9706, 23.5058, 24.0294, 3.0116, 7.5352, 3.4853, 30.9083, 9.54, 2.8693, 5.4504, 1.8775, 4.8036, 15.5517, 19.5544, 8.5791, 4.6749, 4.2177, 4.0287, 3.3778, 7.2745, 10.4764, 3.5688, 16.5866, 8.6386, 0.1964, 15.3101, 5.8385, 3.3539, 12.8939, 12.2834, 8.3032, 3.1403, 2.4675, 20.4867, 34.1958, 3.6194, 2.9001, 4.5661, 18.7023, 6.3614, 0.0999, 20.8131, 43.7077, 6.2375, 16.7775, 13.1951, 6.9144, 4.8042, 2.2977, 1.8809, 15.9001, 7.5572, 7.4155, 24.9767, 5.8042, 4.2669, 3.3566, 10.1403, 12.5175, 5.9986, 11.3525, 25.4942, 20.9165, 6.8166, 1.4483, 0.6591, 19.7728, 1.9843, 8.0753, 7.3977, 2.3135, 6.0568, 37.6934, 13.5058, 19.2005, 12.0281, 4.6092, 2.8063, 3.2717, 4.87, 6.0151, 9.4415, 1.2464, 1.2882, 10.0698, 16.8604, 5.206, 20.4305, 14.6947, 10.6338, 1.8077, 3.1766, 6.7406, 9.5017, 3.1253, 5.0643, 0.5982, 5.8275, 3.3812, 4.0767, 7.5565, 0.7112, 5.6229, 21.577, 2.397, 6.6126, 1.5613, 13.8234, 2.0034, 10.553, 0.9685, 7.9329, 5.4627, 6.0691, 9.0986, 20.1253, 11.9726, 6.5175, 7.3272, 3.1129, 12.1417, 2.3333, 1.1492, 4.2444, 0.9986, 34.6749, 0.8891, 6.4086, 20.9658, 46.2738, 1.2293, 19.9932, 41.8679, 23.0657, 8.9993, 13.373, 38.2519, 4.9671, 47.1937, 12.8357, 4.7926, 4.3244, 4.7502, 6.5476, 7.5407, 7.7153, 29.4839, 5.1068, 3.6366, 1.7351, 1.2033, 13.2279, 10.6605, 16.2738, 13.8515, 2.0999, 5.6906, 2.4654, 2.152, 6.4052, 3.8754, 8.2183, 16.4175, 2.8042, 9.9747, 6.1444, 31.2916, 1.7153, 15.1355, 5.1841, 5.7988, 3.8542, 6.1273, 12.6872, 7.141, 0.8186, 15.3272, 1.9945, 4.5277, 3.1602, 3.1287, 16.0589, 10.412, 3.8282, 12.5613, 8.384, 3.1718, 2.4504, 5.4244, 2.8973, 5.4839, 0.1875, 11.4107, 7.499, 0.705, 13.1472, 0.1869, 10.5565, 19.1595, 12.6229, 4.2745, 1.5202, 3.77, 0.501, 1.2724, 8.5907, 5.3354, 7.5387, 2.1567, 6.3203, 0.6639, 4.7502, 23.9069, 0.0958, 0.9856, 8.4353, 6.4606, 5.5578, 5.2971, 9.5996, 2.987, 14.3648, 8.5893, 15.1896, 1.6824, 1.1999, 2.6721, 1.6153, 1.4312, 8.6153, 0.0753, 0.6769, 7.2752, 3.3121, 1.9049, 1.3415, 4.3826, 3.692, 0.6324, 2.553, 3.1663, 4.4695, 44.1656, 14.4784, 2.7509, 8.3299, 32.7372, 0.9774, 3.1958, 1.0979, 42.5784, 10.9363, 1.3641, 9.0007, 0.4045, 1.9452, 3.7016, 36.4648, 1.3799, 0.7399, 1.7755, 6.527, 5.5647, 0.1075, 5.308, 2.6208, 10.6427, 17.3812, 6.1992, 21.7645, 19.82, 5.9288, 3.4278, 22.2745, 9.9179, 8.8508, 8.6311, 2.8877, 1.7871, 9.7522, 1.1478, 12.3621, 4.1129, 10.5763, 4.0828, 3.1821, 9.6742, 3.3121, 2.3409, 1.4654, 0.0787, 8.2471, 21.4326, 11.3354, 4.8672, 3.4894, 26.3217, 7.6413, 2.3901, 4.1376, 0.2697, 0.8248, 1.6119, 6.8467, 8.9295, 19.7495, 6.2738, 0.1615, 3.9541, 5.0465, 34.9001, 38.5606, 2.2834, 2.0479, 0.2252, 13.0404, 0.4483, 2.2519, 28.9863, 1.7782, 11.0055, 5.358, 0.2108, 4.0883, 1.7687, 0.0712, 2.642, 0.6201, 2.9083, 0.3025, 17.4155, 3.104, 8.2656, 2.2101, 1.8542, 2.8172, 32.2101, 8.2943, 1.1205, 12.5845, 5.0965, 4.9979, 4.6756, 4.2786, 7.9535, 6.8597, 2.8131, 6.7358, 3.4237, 1.4319, 16.5921, 1.5291, 19.1102, 2.8453, 36.2341, 24.4312, 1.0472, 30.5503, 3.1615, 33.2854, 7.3593, 0.1992, 0.4846, 5.3368, 6.399, 4.4778, 12.4709, 12.4949, 6.6037, 4.59, 4.104, 6.4853, 13.0185, 6.2231, 22.4894, 2.2799, 4.5346, 9.8994, 3.3669, 31.4292, 37.8823, 12.8241, 3.0267, 2.6851, 6.3012, 6.3751, 1.1958, 1.1239, 30.2738, 12.1533, 12.1348, 3.8576, 1.6865, 10.729, 9.7529, 0.6222, 5.577, 1.4203, 4.87, 1.679, 4.0322, 28.2683, 1.3655, 6.5955, 3.245, 2.8467, 11.269, 1.64, 35.9651, 11.1732, 17.2991, 4.4189, 6.9925, 11.3518, 2.0986, 0.3641, 2.2738, 4.8679, 8.8172, 2.4394, 0.2005, 3.9179, 16.258, 8.2471, 0.9836, 10.3703, 10.0507, 0.9206, 18.1834, 5.6674, 3.7947, 4.9849, 3.3593, 10.6057, 6.0821, 4.4736, 47.3244, 0.8077, 2.7474), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(obs)` = c(196L, 760L, 24L, 430L, 270L, 74L, 188L, 103L, 367L, 122L, 694L, 793L, 43L, 172L, 112L, 155L, 754L, 364L, 426L, 778L, 366L, 255L, 650L, 153L, 429L, 703L, 535L, 715L, 540L, 702L, 138L, 265L, 370L, 409L, 780L, 644L, 8L, 664L, 563L, 672L, 800L, 446L, 249L, 673L, 804L, 656L, 376L, 560L, 732L, 597L, 280L, 402L, 16L, 542L, 626L, 666L, 163L, 231L, 257L, 388L, 627L, 631L, 787L, 472L, 794L, 519L, 14L, 590L, 503L, 632L, 93L, 463L, 743L, 371L, 378L, 798L, 501L, 477L, 753L, 711L, 483L, 175L, 377L, 390L, 290L, 441L, 755L, 363L, 12L, 421L, 293L, 734L, 582L, 454L, 779L, 50L, 452L, 374L, 796L, 160L, 476L, 621L, 215L, 657L, 733L, 432L, 442L, 443L, 356L, 449L, 568L, 330L, 214L, 712L, 505L, 86L, 361L, 79L, 392L, 628L, 401L, 517L, 266L, 92L, 96L, 433L, 166L, 98L, 764L, 159L, 360L, 601L, 425L, 250L, 544L, 612L, 447L, 305L, 242L, 110L, 177L, 693L, 789L, 9L, 484L, 768L, 306L, 88L, 431L, 802L, 786L, 184L, 22L, 716L, 5L, 602L, 774L, 393L, 405L, 791L, 520L, 328L, 89L, 548L, 625L, 740L, 243L, 18L, 587L, 565L, 258L, 164L, 253L, 21L, 113L, 225L, 129L, 291L, 714L, 64L, 245L, 457L, 776L, 720L, 453L, 772L, 516L, 533L, 28L, 762L, 95L, 161L, 637L, 252L, 634L, 683L, 194L, 33L, 474L, 747L, 782L, 354L, 213L, 784L, 766L, 435L, 62L, 385L, 710L, 461L, 585L, 299L, 749L, 736L, 623L, 420L, 653L, 324L, 380L, 348L, 248L, 398L, 107L, 275L, 2L, 170L, 338L, 334L, 31L, 234L, 157L, 219L, 204L, 105L, 192L, 85L, 146L, 148L, 7L, 314L, 52L, 445L, 49L, 643L, 611L, 741L, 57L, 289L, 226L, 704L, 304L, 137L, 362L, 539L, 114L, 671L, 722L, 738L, 83L, 541L, 806L, 651L, 189L, 745L, 11L, 508L, 584L, 120L, 471L, 591L, 500L, 570L, 667L, 571L, 127L, 109L, 603L, 38L, 54L, 382L, 244L, 630L, 47L, 76L, 502L, 567L, 655L, 636L, 646L, 336L, 417L, 174L, 168L, 20L, 700L, 718L, 300L, 415L, 27L, 135L, 131L, 136L, 675L, 297L, 4L, 246L, 232L, 165L, 296L, 698L, 685L, 518L, 663L, 411L, 537L, 142L, 42L, 264L, 115L, 116L, 589L, 310L, 41L, 15L, 494L, 648L, 659L, 641L, 531L, 301L, 498L, 342L, 554L, 459L, 486L, 152L, 639L, 552L, 329L, 490L, 357L, 599L, 294L, 287L, 507L, 325L, 400L, 326L, 154L, 620L, 29L, 480L, 478L, 561L, 607L, 403L, 558L, 522L, 130L, 609L, 283L, 221L, 101L, 39L, 681L, 618L, 273L, 350L, 456L, 488L, 465L, 577L, 124L, 556L, 358L, 229L, 13L, 595L, 581L, 228L, 413L, 72L, 55L, 427L, 34L, 25L, 340L, 482L, 303L, 282L, 268L, 190L, 384L, 271L, 372L, 419L, 238L, 277L, 125L, 173L, 439L, 579L, 211L, 387L, 186L, 450L, 510L, 496L, 396L, 144L, 492L, 70L, 133L, 394L, 375L, 407L, 279L, 61L, 312L, 423L, 316L, 254L, 81L, 467L, 78L, 200L, 469L, 240L, 66L, 99L, 368L, 593L, 179L, 223L, 36L, 437L, 68L, 217L, 150L, 118L, 198L, 91L, 59L, 202L, 236L, 322L, 140L), `(tostate)` = c(2L, 4L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 4L, 1L, 1L, 4L, 3L, 4L, 3L, 1L, 1L, 4L, 2L, 3L, 1L, 2L, 2L, 2L, 3L, 1L, 4L, 3L, 1L, 2L, 2L, 3L, 2L, 4L, 1L, 3L, 1L, 3L, 3L, 4L, 1L, 2L, 3L, 3L, 1L, 2L, 4L, 3L, 4L, 4L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 1L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 3L, 2L, 1L, 3L, 2L, 3L, 1L, 3L, 2L, 2L, 4L, 3L, 4L, 4L, 4L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 4L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 2L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 3L, 1L, 4L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 1L, 1L, 4L, 2L, 1L, 2L, 3L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 4L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 2L, 4L, 3L, 1L, 4L, 4L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 1L, 4L, 2L, 3L, 1L, 2L, 1L, 2L, 4L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 3L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 1L, 1L), `(timelag)` = c(0.0958000000000006, 0.1068, 0.115, 0.139600000000001, 0.1533, 0.2299, 0.23, 0.2437, 0.2874, 0.3094, 0.325800000000001, 0.345, 0.345000000000001, 0.3723, 0.383299999999998, 0.3833, 0.4024, 0.4024, 0.4024, 0.4024, 0.418899999999999, 0.421599999999998, 0.4216, 0.4216, 0.4353, 0.4408, 0.4408, 0.4408, 0.459899999999999, 0.4599, 0.459900000000001, 0.459999999999999, 0.4627, 0.4627, 0.4709, 0.4764, 0.479099999999999, 0.479099999999999, 0.479099999999999, 0.4791, 0.4791, 0.479100000000003, 0.479100000000003, 0.4792, 0.49, 0.498200000000001, 0.498200000000001, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.500999999999999, 0.5011, 0.5038, 0.5065, 0.5092, 0.5174, 0.5174, 0.5174, 0.517499999999998, 0.5175, 0.5175, 0.5175, 0.520200000000001, 0.5229, 0.5284, 0.5366, 0.5366, 0.5366, 0.5366, 0.5366, 0.5367, 0.539300000000001, 0.5557, 0.5558, 0.5558, 0.5558, 0.5558, 0.558500000000002, 0.572199999999999, 0.572299999999998, 0.5749, 0.5749, 0.5749, 0.575, 0.5804, 0.5886, 0.594100000000001, 0.6078, 0.6132, 0.613299999999999, 0.632400000000001, 0.632499999999999, 0.6325, 0.6325, 0.635199999999999, 0.6516, 0.6516, 0.657100000000001, 0.668000000000001, 0.6707, 0.69, 0.69, 0.69, 0.6955, 0.706300000000001, 0.709099999999999, 0.7091, 0.7145, 0.714599999999997, 0.7283, 0.728300000000001, 0.7474, 0.747400000000001, 0.7475, 0.752999999999998, 0.7666, 0.7666, 0.7748, 0.777600000000001, 0.783000000000001, 0.7912, 0.7967, 0.7994, 0.804899999999999, 0.805, 0.8241, 0.8433, 0.8542, 0.8624, 0.8789, 0.892499999999998, 0.9008, 0.9035, 0.9117, 0.919899999999998, 0.9227, 0.933599999999998, 0.958199999999998, 0.963699999999999, 0.977399999999999, 0.977400000000001, 0.977400000000003, 0.9966, 0.996600000000001, 1.0158, 1.0349, 1.0459, 1.054, 1.0732, 1.076, 1.0814, 1.0924, 1.0924, 1.0924, 1.1116, 1.1225, 1.1225, 1.1307, 1.1417, 1.1471, 1.1828, 1.2238, 1.2266, 1.2758, 1.2841, 1.3032, 1.3033, 1.3115, 1.3334, 1.3771, 1.3963, 1.4456, 1.451, 1.4566, 1.473, 1.4757, 1.4921, 1.514, 1.514, 1.514, 1.5332, 1.5332, 1.5387, 1.5414, 1.5441, 1.5469, 1.5551, 1.5606, 1.5715, 1.5879, 1.5907, 1.5907, 1.6098, 1.6098, 1.6373, 1.6646, 1.6701, 1.6838, 1.6865, 1.692, 1.7056, 1.7631, 1.7631, 1.7632, 1.7659, 1.7823, 1.8207, 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-0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, 0.832962138084632, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, -0.167037861915367, 0.832962138084632, -0.167037861915367, -0.167037861915367, -0.167037861915367, 0.832962138084632, -0.167037861915367, -0.167037861915367), mm.mcov = NULL, mm.hcov = NULL, mm.icov = NULL, subject.weights = NULL), qmodel = list(nstates = 4L, iso = 1, perm = c(1, 2, 3, 4), qperm = 1:4, npars = 3, imatrix = c(0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0), qmatrix = c(-0.0578991440335294, 0, 0, 0, 0.0578991440335294, -0.0719671944740709, 0, 0, 0, 0.0719671944740709, -0.169691377247322, 0, 0, 0, 0.169691377247322, 0), inits = c(0.0578991440335294, 0.0719671944740709, 0.169691377247322 ), constr = 1:3, ndpars = 3L, expm = 1), qcmodel = list(npars = 6, ndpars = 6L, ncovs = 2, constr = 1:6, covlabels = c("ollwsdrt", "hieffusn"), inits = c(0, 0, 0, 0, 0, 0), covmeans = c(ollwsdrt = 0.309576837416481, hieffusn = 0.167037861915367)), cmodel = list(ncens = 0, censor = NULL, states = NULL, states_list = NULL, index = NULL), hmodel = list(hidden = FALSE, models = c(0, 0, 0, 0), nipars = 0, nicoveffs = 0, totpars = 0, ncoveffs = 0, ematrix = FALSE), paramdata = list(inits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), plabs = c("qbase", "qbase", "qbase", "qcov", "qcov", "qcov", "qcov", "qcov", "qcov"), allinits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), hmmpars = integer(0), fixed = FALSE, fixedpars = integer(0), optpars = 1:9, auxpars = integer(0), constr = c(1, 2, 3, 4, 5, 6, 7, 8, 9), npars = 9, duppars = integer(0), nfix = 0L, nopt = 9L, ndup = 0L, ranges = c(0, 0, 0, -Inf, -Inf, -Inf, -Inf, -Inf, -Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf ), params = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0)))
5: do.call("optim", optim.args)
6: msm.optim.optim(p = list(inits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), plabs = c("qbase", "qbase", "qbase", "qcov", "qcov", "qcov", "qcov", "qcov", "qcov"), allinits = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0), hmmpars = integer(0), fixed = FALSE, fixedpars = integer(0), optpars = 1:9, auxpars = integer(0), constr = c(1, 2, 3, 4, 5, 6, 7, 8, 9), npars = 9, duppars = integer(0), nfix = 0L, nopt = 9L, ndup = 0L, ranges = c(0, 0, 0, -Inf, -Inf, -Inf, -Inf, -Inf, -Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf), params = c(qbase = -2.84905267804391, qbase = -2.63154489610259, qbase = -1.77377391977528, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0, qcov = 0)), gr = function (params, ...) { w <- list(...)$msmdata$subject.weights if (!is.null(w)) { deriv <- Ccall.msm(params, do.what = "deriv.subj", ...) apply(w * deriv, 2, sum) } else Ccall.msm(params, do.what = "deriv", ...)}, hessian = TRUE, msmdata = list(mf = list(ollwsdrt = c(1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L), `(subject)` = c(1L, 1L, 2L, 2L, 2L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 12L, 12L, 12L, 12L, 14L, 14L, 15L, 15L, 15L, 16L, 16L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 21L, 21L, 23L, 23L, 23L, 24L, 24L, 25L, 25L, 25L, 27L, 27L, 28L, 28L, 29L, 29L, 29L, 31L, 31L, 32L, 32L, 33L, 33L, 34L, 34L, 35L, 35L, 36L, 36L, 37L, 37L, 39L, 39L, 39L, 40L, 40L, 41L, 41L, 42L, 42L, 42L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 47L, 47L, 47L, 49L, 49L, 51L, 51L, 53L, 53L, 54L, 54L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 58L, 58L, 59L, 59L, 60L, 60L, 60L, 61L, 61L, 62L, 62L, 62L, 62L, 64L, 64L, 66L, 66L, 66L, 66L, 66L, 68L, 68L, 70L, 70L, 72L, 72L, 73L, 73L, 74L, 74L, 75L, 75L, 76L, 76L, 76L, 76L, 76L, 78L, 78L, 79L, 79L, 79L, 79L, 80L, 80L, 80L, 80L, 80L, 81L, 81L, 82L, 82L, 83L, 83L, 83L, 83L, 83L, 84L, 84L, 85L, 85L, 87L, 87L, 88L, 88L, 89L, 89L, 89L, 89L, 91L, 91L, 93L, 93L, 94L, 94L, 95L, 95L, 96L, 96L, 97L, 97L, 98L, 98L, 103L, 103L, 104L, 104L, 104L, 104L, 108L, 108L, 110L, 110L, 111L, 111L, 113L, 113L, 114L, 114L, 114L, 116L, 116L, 116L, 117L, 117L, 117L, 118L, 118L, 120L, 120L, 121L, 121L, 122L, 122L, 123L, 123L, 123L, 123L, 123L, 123L, 124L, 124L, 124L, 124L, 125L, 125L, 125L, 125L, 125L, 126L, 126L, 126L, 129L, 129L, 129L, 129L, 130L, 130L, 131L, 131L, 131L, 132L, 132L, 133L, 133L, 134L, 134L, 135L, 135L, 135L, 136L, 136L, 136L, 139L, 139L, 143L, 143L, 143L, 143L, 145L, 145L, 145L, 146L, 146L, 146L, 148L, 148L, 148L, 148L, 150L, 150L, 150L, 150L, 150L, 157L, 157L, 158L, 158L, 160L, 160L, 162L, 162L, 165L, 165L, 166L, 166L, 166L, 166L, 169L, 169L, 169L, 169L, 172L, 172L, 173L, 173L, 174L, 174L, 176L, 176L, 178L, 178L, 180L, 180L, 181L, 181L, 184L, 184L, 185L, 185L, 185L, 185L, 186L, 186L, 186L, 186L, 186L, 186L, 188L, 188L, 188L, 188L, 190L, 190L, 190L, 190L, 192L, 192L, 192L, 192L, 192L, 192L, 194L, 194L, 195L, 195L, 196L, 196L, 196L, 197L, 197L, 197L, 198L, 198L, 199L, 199L, 199L, 199L, 201L, 201L, 202L, 202L, 204L, 204L, 204L, 204L, 204L, 206L, 206L, 208L, 208L, 210L, 210L, 211L, 211L, 212L, 212L, 214L, 214L, 216L, 216L, 219L, 219L, 219L, 219L, 220L, 220L, 221L, 221L, 221L, 221L, 222L, 222L, 222L, 222L, 222L, 222L, 224L, 224L, 225L, 225L, 227L, 227L, 228L, 228L, 228L, 228L, 229L, 229L, 229L, 229L, 230L, 230L, 230L, 231L, 231L, 231L, 231L, 232L, 232L, 232L, 234L, 234L, 235L, 235L, 237L, 237L, 238L, 238L, 239L, 239L, 240L, 240L, 241L, 241L, 241L, 244L, 244L, 246L, 246L, 246L, 246L, 248L, 248L, 249L, 249L, 249L, 249L, 250L, 250L, 251L, 251L, 253L, 253L, 255L, 255L, 256L, 256L, 257L, 257L, 259L, 259L, 260L, 260L, 260L, 260L, 260L, 262L, 262L, 263L, 263L, 263L, 264L, 264L, 268L, 268L, 268L, 268L, 268L, 268L, 269L, 269L, 272L, 272L, 273L, 273L, 275L, 275L, 276L, 276L, 277L, 277L, 277L, 277L, 277L, 278L, 278L, 282L, 282L, 285L, 285L, 287L, 287L, 288L, 288L, 289L, 289L, 291L, 291L, 291L, 294L, 294L, 295L, 295L, 297L, 297L, 297L, 298L, 298L, 298L, 303L, 303L, 304L, 304L, 305L, 305L, 305L, 306L, 306L, 306L, 307L, 307L, 308L, 308L, 308L, 308L, 309L, 309L, 310L, 310L, 311L, 311L, 312L, 312L, 313L, 313L, 313L, 313L, 318L, 318L, 319L, 319L, 321L, 321L, 321L, 323L, 323L, 324L, 324L, 324L, 325L, 325L, 327L, 327L, 327L, 327L, 327L, 328L, 328L, 328L, 328L, 330L, 330L, 331L, 331L, 331L, 333L, 333L, 334L, 334L, 335L, 335L, 335L, 336L, 336L, 337L, 337L, 339L, 339L, 339L, 340L, 340L, 341L, 341L, 341L, 341L, 342L, 342L, 344L, 344L, 344L, 346L, 346L, 346L, 348L, 348L, 348L, 348L, 349L, 349L, 352L, 352L, 354L, 354L, 355L, 355L, 358L, 358L, 358L, 360L, 360L, 361L, 361L, 362L, 362L, 362L, 362L, 364L, 364L, 365L, 365L, 365L, 365L, 366L, 366L, 366L, 366L, 367L, 367L, 368L, 368L, 370L, 370L, 377L, 377L, 377L, 377L, 378L, 378L, 379L, 379L, 380L, 380L, 380L, 381L, 381L, 382L, 382L, 384L, 384L, 385L, 385L, 387L, 387L, 387L, 387L, 389L, 389L, 390L, 390L, 391L, 391L, 392L, 392L, 393L, 393L, 394L, 394L, 395L, 395L, 396L, 396L, 397L, 397L, 398L, 398L, 398L, 398L, 399L, 399L, 400L, 400L, 401L, 401L, 401L, 403L, 403L, 404L, 404L, 406L, 406L, 406L, 407L, 407L, 408L, 408L, 409L, 409L, 411L, 411L, 413L, 413L, 417L, 417L), `(state)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(time)` = c(6.4606, 17.078, 26.3217, 29.4839, 30.5763, 0.0753, 12.8939, 13.373, 14.3504, 3.7016, 6.0151, 6.6037, 12.5175, 13.0404, 16.7775, 17.2758, 6.4052, 7.6893, 3.1821, 6.1444, 7.5407, 8.6167, 9.7844, 9.8994, 16.1472, 0.0787, 3.1287, 4.6756, 9.204, 2.987, 13.9713, 2.8973, 4.5346, 10.7714, 10.0507, 19.0938, 21.7645, 24.4312, 29.5072, 0.2252, 3.9541, 7.5352, 7.8802, 9.9179, 12.6201, 1.9049, 20.4305, 21.063, 7.2752, 21.1944, 19.82, 22.4894, 28.6605, 0.6324, 2.6831, 6.0821, 15.7385, 11.1732, 19.1595, 20.9227, 3.8542, 5.3463, 0.2005, 8.7399, 18.1834, 27.4018, 6.5955, 13.974, 6.2231, 12.3751, 0.3279, 0.5578, 8.8508, 11.5667, 2.2738, 10.553, 11.306, 2.0986, 10.3039, 42.5784, 44.807, 1.6153, 13.8234, 14.5708, 12.8357, 13.8515, 14.9986, 10.6057, 20.1253, 20.9165, 21.4531, 10.412, 11.9726, 12.7693, 3.1129, 3.9179, 12.5147, 36.2341, 41.2882, 4.5065, 4.7502, 1.1999, 13.2327, 0.9856, 11.4278, 17.3812, 19.9932, 20.9268, 30.9083, 31.2916, 32.7372, 34.9001, 38.5606, 42.2608, 4.9849, 14.3292, 0.7399, 3.193, 23.5058, 23.8152, 6.399, 12.1348, 18.8152, 10.6427, 13.2491, 15.1355, 16.5921, 21.4326, 24.5291, 3.245, 10.6482, 8.2471, 11.3354, 14.4784, 16.5866, 17.0465, 2.7474, 12.7296, 0.1615, 3.6851, 28.2683, 35.6386, 1.4312, 13.9788, 8.6153, 21.2149, 3.7947, 13.0513, 0.6201, 4.6749, 5.0965, 9.54, 9.9233, 8.5893, 19.8556, 2.3333, 3.1766, 3.8282, 5.3997, 2.2977, 2.8042, 4.1376, 7.3272, 8.1321, 4.0828, 7.0178, 5.5578, 16.2491, 3.4853, 3.8576, 10.5763, 13.5058, 14.078, 41.8679, 42.8261, 0.9836, 9.9309, 6.5476, 7.6208, 5.577, 12.5558, 0.1745, 0.4045, 2.6851, 9.0041, 2.6721, 14.7817, 5.4244, 7.0342, 12.9035, 12.9993, 3.3593, 12.7775, 4.8679, 13.1964, 4.4736, 14.2067, 1.6824, 13.2717, 9.7529, 16.5647, 0.705, 2.397, 3.1253, 3.796, 5.6674, 14.9021, 15.1896, 26.5927, 2.8453, 7.8775, 10.3703, 19.3176, 1.7153, 3.1663, 5.2334, 6.4853, 12.4949, 18.3758, 1.8809, 2.3901, 5.5688, 14.3648, 25.4312, 47.3244, 57.0602, 30.2738, 36.7324, 2.4394, 10.7926, 1.2293, 2.152, 3.4278, 6.1273, 7.6413, 10.8036, 23.9069, 34.1958, 34.6749, 35.5674, 8.384, 9.9747, 11.3518, 19.5544, 19.976, 15.9001, 16.4175, 17.729, 5.0465, 8.6386, 9.0986, 9.8816, 3.0267, 9.332, 6.2218, 6.3751, 12.6968, 3.1615, 8.4401, 8.4353, 18.9487, 12.1533, 18.6776, 35.9651, 43.7077, 44.206, 12.8241, 19.1102, 24.0411, 2.8172, 7.0582, 2.553, 4.6092, 5.1841, 6.6571, 1.2464, 1.8542, 6.0842, 0.2697, 3.4894, 6.6461, 0.501, 2.3409, 5.358, 9.2457, 37.8823, 44.1656, 46.2738, 47.1937, 48.1903, 2.0479, 5.7659, 17.2991, 25.3895, 0.6769, 14.3087, 6.9925, 15.1786, 0.8077, 10.6557, 6.3203, 8.2943, 12.5845, 17.0034, 16.2738, 17.4155, 21.577, 22.2916, 9.5996, 20.384, 12.3621, 15.2697, 5.2971, 16.0157, 3.3669, 9.6229, 4.0883, 8.0253, 4.7502, 14.8966, 33.2854, 38.5749, 7.499, 9.1855, 7.5565, 8.2656, 12.4709, 18.3244, 1.1492, 2.0034, 2.7509, 4.87, 5.4504, 5.8528, 15.5517, 15.9706, 16.258, 24.9918, 0.1964, 0.6591, 1.1958, 7.5558, 10.6338, 11.269, 18.7023, 19.2005, 19.7728, 20.3121, 0.6639, 10.6954, 5.9288, 8.6146, 6.3012, 12.6229, 14.3888, 0.6222, 7.5572, 8.0746, 12.0281, 12.603, 0.9685, 1.7351, 2.8467, 10.2553, 4.0322, 11.3696, 0.0958, 10.4805, 1.1205, 5.4627, 6.2375, 6.7358, 11.5079, 1.2033, 2.3258, 1.64, 9.1335, 15.3101, 15.7728, 19.7495, 23.18, 13.0185, 19.1102, 1.4654, 4.4935, 4.1129, 7.0424, 1.1239, 7.5387, 9.4415, 10.0356, 4.4189, 12.5804, 0.9986, 1.8775, 2.2799, 8.4894, 4.2177, 4.653, 4.7926, 5.8275, 6.5175, 7.3169, 10.5565, 12.3196, 0.9206, 10.1335, 1.6865, 8.449, 2.8063, 3.3812, 4.0767, 4.783, 3.3121, 20.4867, 20.9658, 21.8775, 0.7112, 1.4203, 8.6372, 14.6947, 15.3272, 16.8604, 17.4928, 7.3593, 12.6872, 14.2012, 0.0712, 4.0767, 1.5202, 3.3409, 6.8166, 7.3532, 0.4846, 5.9302, 0.3641, 8.6242, 8.8172, 17.154, 1.7755, 4.2669, 4.7844, 5.4839, 7.1485, 6.7406, 7.3977, 7.9535, 12.5147, 4.2786, 8.8261, 31.4292, 37.6934, 38.2519, 39.2293, 2.642, 6.6667, 0.1992, 5.5298, 3.104, 7.2957, 1.3655, 8.744, 0.4483, 4.1855, 1.679, 8.9808, 0.2108, 4.104, 5.5647, 8.0753, 8.6311, 11.3525, 11.8891, 1.5613, 2.3087, 32.2101, 36.4648, 38.7837, 4.87, 12.1362, 4.5277, 6.0691, 6.8467, 10.1403, 10.6605, 11.7912, 1.4319, 6.2615, 11.0055, 14.8631, 3.1602, 4.7043, 3.3778, 3.8186, 6.2738, 9.7618, 8.3299, 10.4764, 10.9363, 13.1951, 13.6961, 0.8891, 1.7899, 2.0999, 3.2827, 0.3025, 4.4449, 1.7687, 5.7139, 4.4778, 10.2793, 3.4237, 8.2067, 6.3614, 6.8597, 11.5168, 8.3032, 8.7823, 8.2183, 9.5216, 2.8877, 5.6229, 6.3374, 0.1075, 2.6208, 5.2245, 5.3368, 10.7988, 10.729, 17.5188, 4.104, 10.0698, 10.6831, 1.3799, 3.77, 5.5989, 3.8754, 5.1786, 2.2834, 5.9986, 6.527, 9.0267, 8.2471, 17.0986, 4.59, 10.5202, 20.8131, 21.3114, 2.2101, 6.4237, 4.2444, 5.1068, 6.1992, 8.8658, 2.8131, 7.5086, 1.5291, 6.397, 4.3826, 6.4086, 7.3121, 30.5503, 35.8125, 4.9979, 9.5017, 10.1697, 5.3354, 7.23, 5.6906, 6.9144, 7.4155, 7.9329, 8.6995, 22.2745, 24.9767, 25.4942, 26.0308, 3.1718, 4.7625, 9.7522, 12.5613, 14.1492, 2.9083, 7.0287, 1.7782, 5.5756, 1.3415, 3.3539, 3.8303, 1.1478, 4.0116, 2.2519, 6.0383, 8.5791, 9.0007, 11.2621, 2.1567, 4.065, 1.7871, 4.5661, 5.0643, 5.7543, 28.9863, 32.781, 8.9295, 12.2834, 12.7625, 4.8042, 5.308, 7.8378, 0.9774, 3.1403, 3.6194, 4.0986, 4.8672, 8.0103, 1.0472, 6.2245, 2.4504, 4.0602, 1.6119, 4.8973, 23.0657, 24.0294, 24.3552, 0.8248, 4.0582, 9.6742, 12.6448, 3.5688, 4.0287, 4.4695, 6.5585, 2.755, 5.1451, 4.2745, 6.0568, 6.6126, 7.3409, 5.7988, 7.2745, 7.7153, 8.7967, 3.3121, 6.3128, 0.8186, 2.3518, 3.1958, 5.4189, 0.0999, 0.5982, 1.2882, 1.9014, 8.5907, 10.4634, 1.0979, 3.321, 2.4654, 3.692, 5.7426, 1.4483, 1.9849, 1.9452, 4.2368, 0.1875, 1.8576, 1.2724, 3.1259, 2.3135, 2.8693, 3.2717, 3.8467, 1.731, 1.8378, 16.0589, 17.614, 12.1417, 12.9658, 0.1869, 1.95, 4.9671, 5.9637, 1.7365, 3.2806, 1.9945, 3.5332, 3.6366, 4.729, 7.141, 8.655, 4.8036, 5.206, 5.8385, 6.3094, 11.4107, 13.0945, 13.1472, 14.8528, 4.7502, 5.8042, 6.3217, 8.9993, 9.9767, 13.2279, 14.3504, 3.0116, 3.3566, 3.8741, 1.8077, 2.4593, 1.9843, 2.54, 2.4675, 2.9466, 4.3244, 5.3703, 2.9001, 3.3901, 1.3641, 3.6229), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(1L, 1L, 1L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 4L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 3L, 4L, 1L, 2L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 1L, 3L, 4L, 1L, 4L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 3L, 4L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 1L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L), `(obs)` = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L, 178L, 179L, 183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 218L, 219L, 220L, 221L, 222L, 223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 237L, 238L, 239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L, 256L, 257L, 258L, 263L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 286L, 287L, 288L, 289L, 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 298L, 299L, 300L, 301L, 302L, 303L, 304L, 305L, 306L, 309L, 310L, 311L, 312L, 313L, 314L, 315L, 316L, 321L, 322L, 323L, 324L, 325L, 326L, 327L, 328L, 329L, 330L, 333L, 334L, 335L, 336L, 337L, 338L, 339L, 340L, 341L, 342L, 347L, 348L, 349L, 350L, 353L, 354L, 355L, 356L, 357L, 358L, 359L, 360L, 361L, 362L, 363L, 364L, 365L, 366L, 367L, 368L, 369L, 370L, 371L, 372L, 373L, 374L, 375L, 376L, 377L, 378L, 379L, 380L, 381L, 382L, 383L, 384L, 385L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L, 394L, 395L, 396L, 397L, 398L, 399L, 400L, 401L, 402L, 403L, 404L, 405L, 406L, 407L, 408L, 409L, 410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 420L, 421L, 422L, 423L, 424L, 425L, 426L, 427L, 428L, 429L, 430L, 431L, 432L, 433L, 434L, 435L, 436L, 437L, 438L, 439L, 440L, 441L, 442L, 443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 453L, 454L, 455L, 456L, 457L, 458L, 459L, 460L, 461L, 462L, 463L, 464L, 465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 475L, 476L, 477L, 478L, 479L, 480L, 481L, 482L, 483L, 484L, 485L, 486L, 487L, 488L, 489L, 490L, 491L, 492L, 493L, 494L, 495L, 496L, 497L, 498L, 499L, 500L, 501L, 502L, 503L, 504L, 505L, 506L, 507L, 508L, 509L, 510L, 515L, 516L, 517L, 518L, 519L, 520L, 521L, 522L, 530L, 531L, 532L, 533L, 534L, 535L, 536L, 537L, 538L, 539L, 540L, 541L, 542L, 543L, 544L, 547L, 548L, 551L, 552L, 553L, 554L, 555L, 556L, 557L, 558L, 559L, 560L, 561L, 562L, 563L, 564L, 565L, 566L, 567L, 568L, 569L, 570L, 571L, 576L, 577L, 578L, 579L, 580L, 581L, 582L, 583L, 584L, 585L, 586L, 587L, 588L, 589L, 590L, 591L, 592L, 593L, 594L, 595L, 596L, 597L, 598L, 599L, 600L, 601L, 602L, 603L, 606L, 607L, 608L, 609L, 610L, 611L, 612L, 617L, 618L, 619L, 620L, 621L, 622L, 623L, 624L, 625L, 626L, 627L, 628L, 629L, 630L, 631L, 632L, 633L, 634L, 635L, 636L, 637L, 638L, 639L, 640L, 641L, 642L, 643L, 644L, 645L, 646L, 647L, 648L, 649L, 650L, 651L, 652L, 653L, 654L, 655L, 656L, 657L, 658L, 659L, 662L, 663L, 664L, 665L, 666L, 667L, 670L, 671L, 672L, 673L, 674L, 675L, 680L, 681L, 682L, 683L, 684L, 685L, 692L, 693L, 694L, 697L, 698L, 699L, 700L, 701L, 702L, 703L, 704L, 707L, 708L, 709L, 710L, 711L, 712L, 713L, 714L, 715L, 716L, 717L, 718L, 719L, 720L, 721L, 722L, 731L, 732L, 733L, 734L, 735L, 736L, 737L, 738L, 739L, 740L, 741L, 742L, 743L, 744L, 745L, 746L, 747L, 748L, 749L, 752L, 753L, 754L, 755L, 759L, 760L, 761L, 762L, 763L, 764L, 765L, 766L, 767L, 768L, 769L, 770L, 771L, 772L, 773L, 774L, 775L, 776L, 777L, 778L, 779L, 780L, 781L, 782L, 783L, 784L, 785L, 786L, 787L, 788L, 789L, 790L, 791L, 792L, 793L, 794L, 795L, 796L, 797L, 798L, 799L, 800L, 801L, 802L, 803L, 804L, 805L, 806L), `(pcomb)` = c(NA, 1L, NA, 2L, 3L, NA, 4L, 5L, 6L, NA, 7L, 8L, 9L, 10L, 11L, 12L, NA, 13L, NA, 14L, 15L, 16L, NA, 17L, 18L, NA, 19L, 20L, 21L, NA, 22L, NA, 23L, 24L, NA, 25L, NA, 26L, 27L, NA, 28L, 29L, 30L, NA, 31L, NA, 32L, 33L, NA, 34L, NA, 35L, 36L, NA, 37L, NA, 38L, NA, 39L, 40L, NA, 41L, NA, 42L, NA, 43L, NA, 44L, NA, 45L, NA, 46L, NA, 47L, NA, 48L, 49L, NA, 50L, NA, 51L, NA, 52L, 53L, NA, 54L, 55L, NA, 56L, 57L, 58L, NA, 59L, 60L, NA, 61L, 62L, NA, 63L, NA, 64L, NA, 65L, NA, 66L, NA, 67L, 68L, NA, 69L, 70L, 71L, 72L, 73L, NA, 74L, NA, 75L, NA, 76L, NA, 77L, 78L, NA, 79L, NA, 80L, 81L, 82L, NA, 83L, NA, 84L, 85L, 86L, 87L, NA, 88L, NA, 89L, NA, 90L, NA, 91L, NA, 92L, NA, 93L, NA, 94L, 95L, 96L, 97L, NA, 98L, NA, 99L, 100L, 101L, NA, 102L, 103L, 104L, 105L, NA, 106L, NA, 107L, NA, 108L, 109L, 110L, 111L, NA, 112L, NA, 113L, NA, 114L, NA, 115L, NA, 116L, 117L, 118L, NA, 119L, NA, 120L, NA, 121L, NA, 122L, NA, 123L, NA, 124L, NA, 125L, NA, 126L, NA, 127L, 128L, 129L, NA, 130L, NA, 131L, NA, 132L, NA, 113L, NA, 133L, 134L, NA, 135L, 136L, NA, 137L, 138L, NA, 139L, NA, 140L, NA, 141L, NA, 142L, NA, 143L, 144L, 145L, 146L, 147L, NA, 148L, 149L, 150L, NA, 151L, 152L, 153L, 154L, NA, 155L, 156L, NA, 157L, 158L, 159L, NA, 160L, NA, 161L, 162L, NA, 163L, NA, 164L, NA, 165L, NA, 166L, 167L, NA, 168L, 169L, NA, 170L, NA, 171L, 172L, 173L, NA, 174L, 175L, NA, 176L, 177L, NA, 178L, 179L, 180L, NA, 181L, 182L, 183L, 184L, NA, 185L, NA, 186L, NA, 187L, NA, 188L, NA, 189L, NA, 190L, 191L, 192L, NA, 193L, 194L, 195L, NA, 196L, NA, 197L, NA, 198L, NA, 199L, NA, 200L, NA, 201L, NA, 202L, NA, 203L, NA, 204L, 205L, 206L, NA, 207L, 208L, 209L, 210L, 211L, NA, 212L, 213L, 214L, NA, 215L, 216L, 217L, NA, 218L, 219L, 220L, 221L, 222L, NA, 223L, NA, 224L, NA, 225L, 226L, NA, 227L, 228L, NA, 172L, NA, 229L, 230L, 231L, NA, 232L, NA, 233L, NA, 234L, 235L, 12L, 236L, NA, 237L, NA, 238L, NA, 215L, NA, 239L, NA, 240L, NA, 241L, NA, 110L, NA, 242L, 243L, 244L, NA, 245L, NA, 246L, 247L, 248L, NA, 249L, 250L, 251L, 252L, 253L, NA, 254L, NA, 255L, NA, 256L, NA, 172L, 257L, 258L, NA, 259L, 260L, 261L, NA, 262L, 263L, NA, 33L, 264L, 265L, NA, 266L, 267L, NA, 268L, NA, 269L, NA, 270L, NA, 271L, NA, 272L, NA, 273L, NA, 274L, 275L, NA, 276L, NA, 277L, 278L, 279L, NA, 280L, NA, 281L, 282L, 283L, NA, 284L, NA, 285L, NA, 286L, NA, 287L, NA, 288L, NA, 289L, NA, 290L, NA, 291L, 278L, 292L, 58L, NA, 293L, NA, 294L, 295L, NA, 296L, NA, 297L, 298L, 299L, 300L, 301L, NA, 302L, NA, 303L, NA, 304L, NA, 305L, NA, 306L, NA, 307L, 308L, 309L, 310L, NA, 311L, NA, 312L, NA, 313L, NA, 314L, NA, 315L, NA, 316L, NA, 317L, 318L, NA, 319L, NA, 320L, NA, 321L, 322L, NA, 323L, 324L, NA, 325L, NA, 326L, NA, 327L, 328L, NA, 329L, 330L, NA, 331L, NA, 332L, 333L, 334L, NA, 335L, NA, 336L, NA, 167L, NA, 337L, NA, 338L, 339L, 340L, NA, 341L, NA, 342L, NA, 343L, 344L, NA, 345L, NA, 346L, 347L, NA, 348L, NA, 349L, 350L, 351L, 352L, NA, 31L, 353L, 58L, NA, 354L, NA, 355L, 356L, NA, 357L, NA, 358L, NA, 359L, 360L, NA, 361L, NA, 362L, NA, 95L, 363L, NA, 364L, NA, 365L, 366L, 367L, NA, 368L, NA, 369L, 370L, NA, 371L, 372L, NA, 373L, 374L, 375L, NA, 376L, NA, 377L, NA, 120L, NA, 378L, NA, 379L, 380L, NA, 381L, NA, 382L, NA, 383L, 305L, 384L, NA, 329L, NA, 385L, 386L, 387L, NA, 388L, 389L, 390L, NA, 391L, NA, 264L, NA, 392L, NA, 167L, 393L, 394L, NA, 395L, NA, 396L, NA, 397L, 398L, NA, 399L, NA, 400L, NA, 401L, NA, 402L, NA, 278L, 211L, 403L, NA, 404L, NA, 405L, NA, 406L, NA, 254L, NA, 407L, NA, 304L, NA, 408L, NA, 409L, NA, 410L, NA, 411L, 412L, 413L, NA, 414L, NA, 415L, NA, 416L, 275L, NA, 417L, NA, 418L, NA, 419L, 275L, NA, 420L, NA, 421L, NA, 422L, NA, 423L, NA, 424L, NA, 425L)), mf.agg = list(ollwsdrt = c(1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L), hieffusn = c(0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L), `(subject)` = c(94L, 389L, 9L, 222L, 131L, 36L, 89L, 51L, 188L, 59L, 358L, 406L, 19L, 83L, 56L, 76L, 387L, 186L, 221L, 398L, 188L, 125L, 339L, 76L, 222L, 362L, 275L, 366L, 277L, 362L, 66L, 129L, 190L, 210L, 398L, 335L, 5L, 344L, 294L, 348L, 409L, 229L, 124L, 348L, 413L, 341L, 192L, 291L, 377L, 311L, 135L, 204L, 6L, 277L, 327L, 346L, 80L, 117L, 126L, 197L, 327L, 328L, 401L, 241L, 406L, 268L, 6L, 308L, 260L, 328L, 45L, 237L, 381L, 190L, 192L, 408L, 260L, 246L, 387L, 365L, 249L, 83L, 192L, 198L, 143L, 228L, 387L, 186L, 6L, 219L, 145L, 377L, 305L, 231L, 398L, 23L, 231L, 192L, 407L, 79L, 246L, 324L, 104L, 341L, 377L, 222L, 228L, 228L, 185L, 230L, 297L, 169L, 104L, 365L, 262L, 42L, 186L, 39L, 199L, 327L, 204L, 268L, 129L, 45L, 46L, 222L, 80L, 47L, 391L, 79L, 186L, 313L, 221L, 124L, 278L, 321L, 229L, 150L, 123L, 55L, 84L, 358L, 403L, 5L, 249L, 393L, 150L, 44L, 222L, 411L, 401L, 87L, 8L, 366L, 2L, 313L, 396L, 199L, 206L, 404L, 268L, 169L, 44L, 282L, 327L, 380L, 123L, 7L, 307L, 295L, 126L, 80L, 125L, 8L, 56L, 114L, 62L, 143L, 366L, 31L, 123L, 232L, 397L, 368L, 231L, 395L, 268L, 273L, 12L, 390L, 46L, 79L, 331L, 125L, 330L, 354L, 93L, 15L, 244L, 384L, 399L, 184L, 104L, 400L, 392L, 224L, 29L, 196L, 365L, 235L, 306L, 148L, 385L, 378L, 325L, 219L, 340L, 166L, 194L, 180L, 124L, 202L, 54L, 133L, 1L, 82L, 174L, 172L, 14L, 118L, 78L, 110L, 98L, 53L, 91L, 42L, 73L, 74L, 5L, 160L, 24L, 229L, 23L, 335L, 321L, 380L, 27L, 143L, 114L, 362L, 150L, 66L, 186L, 277L, 56L, 348L, 370L, 379L, 41L, 277L, 417L, 339L, 89L, 382L, 6L, 263L, 306L, 58L, 241L, 308L, 260L, 298L, 346L, 298L, 61L, 55L, 313L, 18L, 25L, 195L, 123L, 328L, 21L, 37L, 260L, 297L, 341L, 331L, 336L, 173L, 216L, 83L, 81L, 8L, 361L, 367L, 148L, 214L, 12L, 66L, 62L, 66L, 349L, 146L, 2L, 123L, 117L, 80L, 146L, 360L, 355L, 268L, 344L, 211L, 276L, 70L, 19L, 129L, 56L, 56L, 308L, 157L, 19L, 6L, 256L, 337L, 342L, 334L, 272L, 148L, 259L, 178L, 287L, 234L, 250L, 76L, 333L, 285L, 169L, 253L, 185L, 312L, 145L, 139L, 263L, 166L, 204L, 166L, 76L, 324L, 12L, 248L, 246L, 291L, 318L, 204L, 289L, 269L, 62L, 319L, 136L, 111L, 49L, 18L, 352L, 323L, 132L, 181L, 232L, 251L, 238L, 303L, 60L, 288L, 185L, 116L, 6L, 310L, 305L, 116L, 212L, 35L, 25L, 221L, 15L, 9L, 176L, 249L, 150L, 136L, 130L, 89L, 196L, 131L, 190L, 219L, 121L, 134L, 60L, 83L, 227L, 304L, 103L, 197L, 88L, 230L, 264L, 257L, 201L, 72L, 255L, 34L, 64L, 199L, 192L, 208L, 135L, 29L, 158L, 220L, 162L, 125L, 40L, 239L, 39L, 96L, 240L, 122L, 32L, 47L, 188L, 309L, 85L, 113L, 16L, 225L, 33L, 108L, 75L, 57L, 95L, 45L, 28L, 97L, 120L, 165L, 68L), `(fromstate)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(time)` = c(12.9035, 1.731, 9.7844, 4.653, 6.2218, 0.3279, 0.1745, 4.5065, 15.9706, 23.5058, 24.0294, 3.0116, 7.5352, 3.4853, 30.9083, 9.54, 2.8693, 5.4504, 1.8775, 4.8036, 15.5517, 19.5544, 8.5791, 4.6749, 4.2177, 4.0287, 3.3778, 7.2745, 10.4764, 3.5688, 16.5866, 8.6386, 0.1964, 15.3101, 5.8385, 3.3539, 12.8939, 12.2834, 8.3032, 3.1403, 2.4675, 20.4867, 34.1958, 3.6194, 2.9001, 4.5661, 18.7023, 6.3614, 0.0999, 20.8131, 43.7077, 6.2375, 16.7775, 13.1951, 6.9144, 4.8042, 2.2977, 1.8809, 15.9001, 7.5572, 7.4155, 24.9767, 5.8042, 4.2669, 3.3566, 10.1403, 12.5175, 5.9986, 11.3525, 25.4942, 20.9165, 6.8166, 1.4483, 0.6591, 19.7728, 1.9843, 8.0753, 7.3977, 2.3135, 6.0568, 37.6934, 13.5058, 19.2005, 12.0281, 4.6092, 2.8063, 3.2717, 4.87, 6.0151, 9.4415, 1.2464, 1.2882, 10.0698, 16.8604, 5.206, 20.4305, 14.6947, 10.6338, 1.8077, 3.1766, 6.7406, 9.5017, 3.1253, 5.0643, 0.5982, 5.8275, 3.3812, 4.0767, 7.5565, 0.7112, 5.6229, 21.577, 2.397, 6.6126, 1.5613, 13.8234, 2.0034, 10.553, 0.9685, 7.9329, 5.4627, 6.0691, 9.0986, 20.1253, 11.9726, 6.5175, 7.3272, 3.1129, 12.1417, 2.3333, 1.1492, 4.2444, 0.9986, 34.6749, 0.8891, 6.4086, 20.9658, 46.2738, 1.2293, 19.9932, 41.8679, 23.0657, 8.9993, 13.373, 38.2519, 4.9671, 47.1937, 12.8357, 4.7926, 4.3244, 4.7502, 6.5476, 7.5407, 7.7153, 29.4839, 5.1068, 3.6366, 1.7351, 1.2033, 13.2279, 10.6605, 16.2738, 13.8515, 2.0999, 5.6906, 2.4654, 2.152, 6.4052, 3.8754, 8.2183, 16.4175, 2.8042, 9.9747, 6.1444, 31.2916, 1.7153, 15.1355, 5.1841, 5.7988, 3.8542, 6.1273, 12.6872, 7.141, 0.8186, 15.3272, 1.9945, 4.5277, 3.1602, 3.1287, 16.0589, 10.412, 3.8282, 12.5613, 8.384, 3.1718, 2.4504, 5.4244, 2.8973, 5.4839, 0.1875, 11.4107, 7.499, 0.705, 13.1472, 0.1869, 10.5565, 19.1595, 12.6229, 4.2745, 1.5202, 3.77, 0.501, 1.2724, 8.5907, 5.3354, 7.5387, 2.1567, 6.3203, 0.6639, 4.7502, 23.9069, 0.0958, 0.9856, 8.4353, 6.4606, 5.5578, 5.2971, 9.5996, 2.987, 14.3648, 8.5893, 15.1896, 1.6824, 1.1999, 2.6721, 1.6153, 1.4312, 8.6153, 0.0753, 0.6769, 7.2752, 3.3121, 1.9049, 1.3415, 4.3826, 3.692, 0.6324, 2.553, 3.1663, 4.4695, 44.1656, 14.4784, 2.7509, 8.3299, 32.7372, 0.9774, 3.1958, 1.0979, 42.5784, 10.9363, 1.3641, 9.0007, 0.4045, 1.9452, 3.7016, 36.4648, 1.3799, 0.7399, 1.7755, 6.527, 5.5647, 0.1075, 5.308, 2.6208, 10.6427, 17.3812, 6.1992, 21.7645, 19.82, 5.9288, 3.4278, 22.2745, 9.9179, 8.8508, 8.6311, 2.8877, 1.7871, 9.7522, 1.1478, 12.3621, 4.1129, 10.5763, 4.0828, 3.1821, 9.6742, 3.3121, 2.3409, 1.4654, 0.0787, 8.2471, 21.4326, 11.3354, 4.8672, 3.4894, 26.3217, 7.6413, 2.3901, 4.1376, 0.2697, 0.8248, 1.6119, 6.8467, 8.9295, 19.7495, 6.2738, 0.1615, 3.9541, 5.0465, 34.9001, 38.5606, 2.2834, 2.0479, 0.2252, 13.0404, 0.4483, 2.2519, 28.9863, 1.7782, 11.0055, 5.358, 0.2108, 4.0883, 1.7687, 0.0712, 2.642, 0.6201, 2.9083, 0.3025, 17.4155, 3.104, 8.2656, 2.2101, 1.8542, 2.8172, 32.2101, 8.2943, 1.1205, 12.5845, 5.0965, 4.9979, 4.6756, 4.2786, 7.9535, 6.8597, 2.8131, 6.7358, 3.4237, 1.4319, 16.5921, 1.5291, 19.1102, 2.8453, 36.2341, 24.4312, 1.0472, 30.5503, 3.1615, 33.2854, 7.3593, 0.1992, 0.4846, 5.3368, 6.399, 4.4778, 12.4709, 12.4949, 6.6037, 4.59, 4.104, 6.4853, 13.0185, 6.2231, 22.4894, 2.2799, 4.5346, 9.8994, 3.3669, 31.4292, 37.8823, 12.8241, 3.0267, 2.6851, 6.3012, 6.3751, 1.1958, 1.1239, 30.2738, 12.1533, 12.1348, 3.8576, 1.6865, 10.729, 9.7529, 0.6222, 5.577, 1.4203, 4.87, 1.679, 4.0322, 28.2683, 1.3655, 6.5955, 3.245, 2.8467, 11.269, 1.64, 35.9651, 11.1732, 17.2991, 4.4189, 6.9925, 11.3518, 2.0986, 0.3641, 2.2738, 4.8679, 8.8172, 2.4394, 0.2005, 3.9179, 16.258, 8.2471, 0.9836, 10.3703, 10.0507, 0.9206, 18.1834, 5.6674, 3.7947, 4.9849, 3.3593, 10.6057, 6.0821, 4.4736, 47.3244, 0.8077, 2.7474), `(obstype)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(obstrue)` = c(2L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L), `(obs)` = c(196L, 760L, 24L, 430L, 270L, 74L, 188L, 103L, 367L, 122L, 694L, 793L, 43L, 172L, 112L, 155L, 754L, 364L, 426L, 778L, 366L, 255L, 650L, 153L, 429L, 703L, 535L, 715L, 540L, 702L, 138L, 265L, 370L, 409L, 780L, 644L, 8L, 664L, 563L, 672L, 800L, 446L, 249L, 673L, 804L, 656L, 376L, 560L, 732L, 597L, 280L, 402L, 16L, 542L, 626L, 666L, 163L, 231L, 257L, 388L, 627L, 631L, 787L, 472L, 794L, 519L, 14L, 590L, 503L, 632L, 93L, 463L, 743L, 371L, 378L, 798L, 501L, 477L, 753L, 711L, 483L, 175L, 377L, 390L, 290L, 441L, 755L, 363L, 12L, 421L, 293L, 734L, 582L, 454L, 779L, 50L, 452L, 374L, 796L, 160L, 476L, 621L, 215L, 657L, 733L, 432L, 442L, 443L, 356L, 449L, 568L, 330L, 214L, 712L, 505L, 86L, 361L, 79L, 392L, 628L, 401L, 517L, 266L, 92L, 96L, 433L, 166L, 98L, 764L, 159L, 360L, 601L, 425L, 250L, 544L, 612L, 447L, 305L, 242L, 110L, 177L, 693L, 789L, 9L, 484L, 768L, 306L, 88L, 431L, 802L, 786L, 184L, 22L, 716L, 5L, 602L, 774L, 393L, 405L, 791L, 520L, 328L, 89L, 548L, 625L, 740L, 243L, 18L, 587L, 565L, 258L, 164L, 253L, 21L, 113L, 225L, 129L, 291L, 714L, 64L, 245L, 457L, 776L, 720L, 453L, 772L, 516L, 533L, 28L, 762L, 95L, 161L, 637L, 252L, 634L, 683L, 194L, 33L, 474L, 747L, 782L, 354L, 213L, 784L, 766L, 435L, 62L, 385L, 710L, 461L, 585L, 299L, 749L, 736L, 623L, 420L, 653L, 324L, 380L, 348L, 248L, 398L, 107L, 275L, 2L, 170L, 338L, 334L, 31L, 234L, 157L, 219L, 204L, 105L, 192L, 85L, 146L, 148L, 7L, 314L, 52L, 445L, 49L, 643L, 611L, 741L, 57L, 289L, 226L, 704L, 304L, 137L, 362L, 539L, 114L, 671L, 722L, 738L, 83L, 541L, 806L, 651L, 189L, 745L, 11L, 508L, 584L, 120L, 471L, 591L, 500L, 570L, 667L, 571L, 127L, 109L, 603L, 38L, 54L, 382L, 244L, 630L, 47L, 76L, 502L, 567L, 655L, 636L, 646L, 336L, 417L, 174L, 168L, 20L, 700L, 718L, 300L, 415L, 27L, 135L, 131L, 136L, 675L, 297L, 4L, 246L, 232L, 165L, 296L, 698L, 685L, 518L, 663L, 411L, 537L, 142L, 42L, 264L, 115L, 116L, 589L, 310L, 41L, 15L, 494L, 648L, 659L, 641L, 531L, 301L, 498L, 342L, 554L, 459L, 486L, 152L, 639L, 552L, 329L, 490L, 357L, 599L, 294L, 287L, 507L, 325L, 400L, 326L, 154L, 620L, 29L, 480L, 478L, 561L, 607L, 403L, 558L, 522L, 130L, 609L, 283L, 221L, 101L, 39L, 681L, 618L, 273L, 350L, 456L, 488L, 465L, 577L, 124L, 556L, 358L, 229L, 13L, 595L, 581L, 228L, 413L, 72L, 55L, 427L, 34L, 25L, 340L, 482L, 303L, 282L, 268L, 190L, 384L, 271L, 372L, 419L, 238L, 277L, 125L, 173L, 439L, 579L, 211L, 387L, 186L, 450L, 510L, 496L, 396L, 144L, 492L, 70L, 133L, 394L, 375L, 407L, 279L, 61L, 312L, 423L, 316L, 254L, 81L, 467L, 78L, 200L, 469L, 240L, 66L, 99L, 368L, 593L, 179L, 223L, 36L, 437L, 68L, 217L, 150L, 118L, 198L, 91L, 59L, 202L, 236L, 322L, 140L), `(tostate)` = c(2L, 4L, 3L, 2L, 3L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 4L, 1L, 1L, 4L, 3L, 4L, 3L, 1L, 1L, 4L, 2L, 3L, 1L, 2L, 2L, 2L, 3L, 1L, 4L, 3L, 1L, 2L, 2L, 3L, 2L, 4L, 1L, 3L, 1L, 3L, 3L, 4L, 1L, 2L, 3L, 3L, 1L, 2L, 4L, 3L, 4L, 4L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 1L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 1L, 2L, 3L, 3L, 3L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 2L, 3L, 3L, 4L, 2L, 1L, 2L, 4L, 3L, 2L, 1L, 3L, 2L, 3L, 1L, 3L, 2L, 2L, 4L, 3L, 4L, 4L, 4L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 1L, 2L, 1L, 2L, 3L, 3L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 4L, 3L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 3L, 4L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 4L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 2L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 3L, 1L, 4L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 1L, 1L, 4L, 2L, 1L, 2L, 3L, 2L, 1L, 1L, 2L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 4L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 3L, 3L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 2L, 4L, 3L, 1L, 4L, 4L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 4L, 1L, 1L, 4L, 1L, 1L, 1L, 4L, 3L, 4L, 1L, 1L, 1L, 1L, 3L, 3L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 2L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 3L, 4L, 2L, 3L, 1L, 4L, 2L, 3L, 1L, 2L, 1L, 2L, 4L, 4L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 1L, 3L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 1L, 1L), `(timelag)` = c(0.0958000000000006, 0.1068, 0.115, 0.139600000000001, 0.1533, 0.2299, 0.23, 0.2437, 0.2874, 0.3094, 0.325800000000001, 0.345, 0.345000000000001, 0.3723, 0.383299999999998, 0.3833, 0.4024, 0.4024, 0.4024, 0.4024, 0.418899999999999, 0.421599999999998, 0.4216, 0.4216, 0.4353, 0.4408, 0.4408, 0.4408, 0.459899999999999, 0.4599, 0.459900000000001, 0.459999999999999, 0.4627, 0.4627, 0.4709, 0.4764, 0.479099999999999, 0.479099999999999, 0.479099999999999, 0.4791, 0.4791, 0.479100000000003, 0.479100000000003, 0.4792, 0.49, 0.498200000000001, 0.498200000000001, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.4983, 0.500999999999999, 0.5011, 0.5038, 0.5065, 0.5092, 0.5174, 0.5174, 0.5174, 0.517499999999998, 0.5175, 0.5175, 0.5175, 0.520200000000001, 0.5229, 0.5284, 0.5366, 0.5366, 0.5366, 0.5366, 0.5366, 0.5367, 0.539300000000001, 0.5557, 0.5558, 0.5558, 0.5558, 0.5558, 0.558500000000002, 0.572199999999999, 0.572299999999998, 0.5749, 0.5749, 0.5749, 0.575, 0.5804, 0.5886, 0.594100000000001, 0.6078, 0.6132, 0.613299999999999, 0.632400000000001, 0.632499999999999, 0.6325, 0.6325, 0.635199999999999, 0.6516, 0.6516, 0.657100000000001, 0.668000000000001, 0.6707, 0.69, 0.69, 0.69, 0.6955, 0.706300000000001, 0.709099999999999, 0.7091, 0.7145, 0.714599999999997, 0.7283, 0.728300000000001, 0.7474, 0.747400000000001, 0.7475, 0.752999999999998, 0.7666, 0.7666, 0.7748, 0.777600000000001, 0.783000000000001, 0.7912, 0.7967, 0.7994, 0.804899999999999, 0.805, 0.8241, 0.8433, 0.8542, 0.8624, 0.8789, 0.892499999999998, 0.9008, 0.9035, 0.9117, 0.919899999999998, 0.9227, 0.933599999999998, 0.958199999999998, 0.963699999999999, 0.977399999999999, 0.977400000000001, 0.977400000000003, 0.9966, 0.996600000000001, 1.0158, 1.0349, 1.0459, 1.054, 1.0732, 1.076, 1.0814, 1.0924, 1.0924, 1.0924, 1.1116, 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2.6995, 2.7022, 2.7022, 2.7159, 2.7214, 2.7352, 2.779, 2.8091, 2.8638, 2.9076, 2.9295, 2.9295, 2.935, 2.9623, 2.9706, 3.0007, 3.0171, 3.0281, 3.05, 3.0883, 3.0965, 3.143, 3.1431, 3.1567, 3.1622, 3.1623, 3.1787, 3.1896, 3.2197, 3.2334, 3.2854, 3.2936, 3.3539, 3.4305, 3.488, 3.5236, 3.5811, 3.5921, 3.6605, 3.7002, 3.7152, 3.718, 3.7289, 3.7371, 3.7372, 3.7864, 3.7947, 3.7974, 3.8576, 3.8877, 3.8932, 3.937, 3.9452, 4.0055, 4.0247, 4.0548, 4.1204, 4.1424, 4.1615, 4.1917, 4.2053, 4.2136, 4.23, 4.241, 4.2547, 4.2902, 4.3422, 4.4189, 4.4435, 4.5038, 4.5284, 4.5475, 4.5612, 4.6571, 4.6955, 4.7721, 4.783, 4.8296, 4.8405, 4.8679, 4.9309, 5.0322, 5.05410000000001, 5.076, 5.1773, 5.2622, 5.2786, 5.2895, 5.3279, 5.3306, 5.4456, 5.462, 5.7358, 5.8015, 5.8535, 5.8809, 5.9138, 5.9302, 5.9658, 6.0096, 6.0917, 6.152, 6.1711, 6.2095, 6.2368, 6.2478, 6.256, 6.2642, 6.2833, 6.2861, 6.3053, 6.319, 6.3217, 6.3217, 6.36, 6.4148, 6.4586, 6.5243, 6.6804, 6.7187, 6.7625, 6.7898, 6.8118, 6.935, 6.9788, 7.2169, 7.2662, 7.3018, 7.3374, 7.3703, 7.3785, 7.3785, 7.4032, 7.4086, 7.4333, 7.4935, 7.7426, 7.9863, 8.0904, 8.1615, 8.1861, 8.2026, 8.2053, 8.2601, 8.2792, 8.3285, 8.3368, 8.3532, 8.5394, 8.5968, 8.7338, 8.8515, 8.9473, 8.9473, 9.0431, 9.2129, 9.2184, 9.2347, 9.2566, 9.3443, 9.4182, 9.5196, 9.6564, 9.7331, 9.7358, 9.848, 9.9822), `(nocc)` = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), `(whicha)` = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 17L, 18L, 19L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 45L, 45L, 46L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 56L, 56L, 57L, 58L, 59L, 60L, 60L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 66L, 66L, 67L, 68L, 69L, 70L, 71L, 71L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 168L, 169L, 170L, 171L, 172L, 173L, 174L, 175L, 176L, 177L, 178L, 179L, 179L, 180L, 181L, 182L, 183L, 184L, 185L, 186L, 187L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L, 205L, 206L, 207L, 208L, 209L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 218L, 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npars = 3, imatrix = c(0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0), qmatrix = c(-0.0578991440335294, 0, 0, 0, 0.0578991440335294, -0.0719671944740709, 0, 0, 0, 0.0719671944740709, -0.169691377247322, 0, 0, 0, 0.169691377247322, 0), inits = c(0.0578991440335294, 0.0719671944740709, 0.169691377247322 ), constr = 1:3, ndpars = 3L, expm = 1), qcmodel = list(npars = 6, ndpars = 6L, ncovs = 2, constr = 1:6, covlabels = c("ollwsdrt", "hieffusn"), inits = c(0, 0, 0, 0, 0, 0), covmeans = c(ollwsdrt = 0.309576837416481, hieffusn = 0.167037861915367)), cmodel = list(ncens = 0, censor = NULL, states = NULL, states_list = NULL, index = NULL), hmodel = list(hidden = FALSE, models = c(0, 0, 0, 0), nipars = 0, nicoveffs = 0, totpars = 0, ncoveffs = 0, ematrix = FALSE))
7: do.call(optfn, args)
8: msm.optim(opt.method, p, hessian, use.deriv, msmdata, qmodel, qcmodel, cmodel, hmodel, ...)
9: msm(state ~ months, subject = ptnum, data = psor, qmatrix = Qind, gen.inits = TRUE, covariates = ~ollwsdrt + hieffusn)
10: eval(expr, envir)
11: eval(expr, envir)
12: withVisible(eval(expr, envir))
13: withCallingHandlers(code, message = function (cnd) { watcher$capture_plot_and_output() if (on_message$capture) { watcher$push(cnd) } if (on_message$silence) { invokeRestart("muffleMessage") }}, warning = function (cnd) { if (getOption("warn") >= 2 || getOption("warn") < 0) { return() } watcher$capture_plot_and_output() if (on_warning$capture) { cnd <- sanitize_call(cnd) watcher$push(cnd) } if (on_warning$silence) { invokeRestart("muffleWarning") }}, error = function (cnd) { watcher$capture_plot_and_output() cnd <- sanitize_call(cnd) watcher$push(cnd) switch(on_error, continue = invokeRestart("eval_continue"), stop = invokeRestart("eval_stop"), error = invokeRestart("eval_error", cnd))})
14: eval(call)
15: eval(call)
16: with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers)
17: doWithOneRestart(return(expr), restart)
18: withOneRestart(expr, restarts[[1L]])
19: withRestartList(expr, restarts[-nr])
20: doWithOneRestart(return(expr), restart)
21: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
22: withRestartList(expr, restarts[-nr])
23: doWithOneRestart(return(expr), restart)
24: withOneRestart(withRestartList(expr, restarts[-nr]), restarts[[nr]])
25: withRestartList(expr, restarts)
26: withRestarts(with_handlers({ for (expr in tle$exprs) { ev <- withVisible(eval(expr, envir)) watcher$capture_plot_and_output() watcher$print_value(ev$value, ev$visible, envir) } TRUE}, handlers), eval_continue = function() TRUE, eval_stop = function() FALSE, eval_error = function(cnd) signalCondition(cnd))
27: evaluate::evaluate(...)
28: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))
29: in_dir(input_dir(), expr)
30: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)))
31: eng_r(options)
32: block_exec(params)
33: call_block(x)
34: process_group(group)
35: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e))
36: xfun:::handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]), get_loc)
37: process_file(text, output)
38: (if (grepl("\\.[Rr]md$", file)) knit2html else if (grepl("\\.[Rr]rst$", file)) knit2pandoc else knit)(file, encoding = encoding, quiet = quiet, envir = globalenv(), ...)
39: engine$weave(file, quiet = quiet, encoding = enc)
40: doTryCatch(return(expr), name, parentenv, handler)
41: tryCatchOne(expr, names, parentenv, handlers[[1L]])
42: tryCatchList(expr, classes, parentenv, handlers)
43: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))})
44: tools:::.buildOneVignette("multistate.Rnw", "/data/gannet/ripley/R/packages/tests-devel/fic.Rcheck/vign_test/fic", TRUE, FALSE, "multistate", "UTF-8", "/tmp/RtmpgSDtHf/working_dir/RtmpPsQ80c/file3d01ff2f585c77.rds")
An irrecoverable exception occurred. R is aborting now ...
--- re-building ‘skewnormal.Rnw’ using knitr
--- finished re-building ‘skewnormal.Rnw’
--- re-building ‘survival.Rnw’ using knitr
--- finished re-building ‘survival.Rnw’
SUMMARY: processing the following file failed:
‘multistate.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.0.0
Check: re-building of vignette outputs
Result: WARN
Error(s) in re-building vignettes:
--- re-building ‘fic.Rnw’ using knitr
Error: processing vignette 'fic.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'fic.tex' failed.
LaTeX errors:
! Undefined control sequence.
l.413 \hlkwd{library}\hldef
{(}\hlsng{"fic"}\hldef{)}
?
! Emergency stop.
! Emergency stop.
l.413
End of file on the terminal!
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘fic.Rnw’
--- re-building ‘linear.Rnw’ using knitr
Error: processing vignette 'linear.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'linear.tex' failed.
LaTeX errors:
! Undefined control sequence.
l.102 \hldef
{mtcars}\hlopt{$}\hldef{am} \hlkwb{<-} \hlkwd{factor}\hldef{(mtc...
?
! Emergency stop.
l.102
End of file on the terminal!
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘linear.Rnw’
--- re-building ‘loss.Rnw’ using knitr
Error: processing vignette 'loss.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'loss.tex' failed.
LaTeX errors:
! Undefined control sequence.
l.86 \hlkwd{library}\hldef
{(fic)}
?
! Emergency stop.
! Emergency stop.
l.86
End of file on the terminal!
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘loss.Rnw’
--- re-building ‘multistate.Rnw’ using knitr
Error: processing vignette 'multistate.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'multistate.tex' failed.
LaTeX errors:
! Undefined control sequence.
l.147 \hlkwa{if} \hldef
{(}\hlopt{!}\hlkwd{require}\hldef{(}\hlsng{"msm"}\hld...
?
! Emergency stop.
l.147
End of file on the terminal!
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘multistate.Rnw’
--- re-building ‘skewnormal.Rnw’ using knitr
Error: processing vignette 'skewnormal.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'skewnormal.tex' failed.
LaTeX errors:
! Undefined control sequence.
l.110 \hldef
{ldsnorm} \hlkwb{<-} \hlkwa{function}\hldef{(}\hlkwc{x}\hldef{,}...
?
! Emergency stop.
l.110
End of file on the terminal!
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘skewnormal.Rnw’
--- re-building ‘survival.Rnw’ using knitr
Error: processing vignette 'survival.Rnw' failed with diagnostics:
Running 'texi2dvi' on 'survival.tex' failed.
LaTeX errors:
! Undefined control sequence.
l.97 \hlkwa{if} \hldef
{(}\hlopt{!}\hlkwd{require}\hldef{(}\hlsng{"flexsurv"}...
?
! Emergency stop.
l.97
End of file on the terminal!
! ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘survival.Rnw’
SUMMARY: processing the following files failed:
‘fic.Rnw’ ‘linear.Rnw’ ‘loss.Rnw’ ‘multistate.Rnw’ ‘skewnormal.Rnw’
‘survival.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavor: r-release-macos-x86_64