PLmixed: Estimate (Generalized) Linear Mixed Models with Factor Structures

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.

Package details

AuthorMinjeong Jeon [aut], Nicholas Rockwood [aut, cre]
MaintainerNicholas Rockwood <nrockwood@llu.edu>
LicenseGPL (>= 2)
Version0.1.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PLmixed")

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PLmixed documentation built on Dec. 16, 2020, 9:10 a.m.