Package: PLmixed
Title: Estimate (Generalized) Linear Mixed Models with Factor
        Structures
Version: 0.1.2
Authors@R: c(person("Minjeong", "Jeon", role = "aut"),
    person("Nicholas", "Rockwood", email = "rockwood.19@osu.edu", role = c("aut", "cre")))
Description: Utilizes the 'lme4' package and the optim() function from 'stats'
    to estimate (generalized) linear mixed models (GLMM) with factor
    structures using a profile likelihood approach, as outlined in
    Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628>.
    Factor analysis and item response models can be extended to allow
    for an arbitrary number of nested and crossed random effects,
    making it useful for multilevel and cross-classified models.
Depends: R (>= 3.2.2)
Imports: lme4, Matrix (>= 1.1.1), numDeriv, stats
Suggests: knitr, rmarkdown, irtoys
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-10-13 16:14:02 UTC; nickrockwood
Author: Minjeong Jeon [aut],
  Nicholas Rockwood [aut, cre]
Maintainer: Nicholas Rockwood <rockwood.19@osu.edu>
Repository: CRAN
Date/Publication: 2017-10-13 22:40:08 UTC
Built: R 3.3.3; ; 2018-04-22 16:49:16 UTC; windows
