Package: lmeresampler
Title: Bootstrap Methods for Nested Linear Mixed-Effects Models
Version: 0.1.1
Authors@R: c(person("Adam", "Loy", email = "loyad01@gmail.com",
    role = c("aut", "cre")), person("Spenser", "steele", role = "aut"))
Description: Bootstrap routines for nested linear mixed effects models fit using
    either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the
    parametric, residual, cases, semi-parametric (i.e., CGR),  and random effect
    block (REB) bootstrap procedures. An overview of these procedures can be found 
    in Van der Leeden et al. (2008) <doi: 10.1007/978-0-387-73186-5_11>, 
    Carpenter, Goldstein & Rasbash (2003) <doi: 10.1111/1467-9876.00415>,
    and Chambers & Chandra (2013) <doi: 10.1080/10618600.2012.681216>.
Depends: R (>= 3.1.2)
Imports: boot, plyr, dplyr (>= 0.8.0), Matrix, nlmeU, RLRsim
Suggests: lme4 (>= 1.1-7), nlme, testthat, mlmRev
License: GPL-3
LazyData: true
URL: https://github.com/aloy/lmeresampler
BugReports: https://github.com/aloy/lmeresampler/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-30 16:18:38 UTC; aloy
Author: Adam Loy [aut, cre],
  Spenser steele [aut]
Maintainer: Adam Loy <loyad01@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-31 17:00:06 UTC
