Package: PLmixed
Title: Estimate (Generalized) Linear Mixed Models with Factor
        Structures
Version: 0.1.6
Authors@R: c(person("Minjeong", "Jeon", role = "aut"),
    person("Nicholas", "Rockwood", email = "njrockwood@gmail.com", role = c("aut", "cre")))
Description: Utilizes the 'lme4' and 'optimx' packages (previously 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> and
    Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>.
    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, optimx
Suggests: knitr, rmarkdown, irtoys
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL (>= 2)
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2022-06-21 19:39:38 UTC; nicholasrockwood
Author: Minjeong Jeon [aut],
  Nicholas Rockwood [aut, cre]
Maintainer: Nicholas Rockwood <njrockwood@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-22 07:40:22 UTC
Built: R 4.2.0; ; 2022-06-23 12:38:52 UTC; unix
