Package: GenHMM1d
Type: Package
Title: Goodness-of-Fit for Univariate Hidden Markov Models
Version: 0.1.0
Authors@R: c(
        person(c("Bouchra","R."), "Nasri", role = c("aut", "cre","cph"), email = "bouchra.nasri@umontreal.ca"),
        person("Mamadou Yamar", "Thioub", role = c("aut","cph")))
Description: Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate  Hidden Markov Models (HMM). The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi:10.1029/2019WR025122>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: actuar, EnvStats, extraDistr, ggplot2, matrixcalc, parallel,
        reshape2, rmutil, ssdtools, VaRES, VGAM
Depends: doParallel, foreach, stats
Suggests: gamlss.dist, GeneralizedHyperbolic, gld, GLDEX, sgt, skewt,
        sn, stabledist
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-17 23:13:20 UTC; 49009427
Author: Bouchra R. Nasri [aut, cre, cph],
  Mamadou Yamar Thioub [aut, cph]
Maintainer: Bouchra R. Nasri <bouchra.nasri@umontreal.ca>
Repository: CRAN
Date/Publication: 2021-01-21 08:20:03 UTC
