Package: lmeresampler
Title: Bootstrap Methods for Nested Linear Mixed-Effects Models
Version: 0.1.0
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, semi-parametric (i.e., CGR), residual, cases, and random effect
    block (REB) bootstrap procedures.
Depends: R (>= 3.1.2)
Imports: boot, plyr, dplyr, 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: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-14 20:29:26 UTC; loya
Author: Adam Loy [aut, cre],
  Spenser steele [aut]
Maintainer: Adam Loy <loyad01@gmail.com>
Repository: CRAN
Date/Publication: 2016-07-15 00:31:07
