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

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.

Package details

AuthorMinjeong Jeon [aut], Nicholas Rockwood [aut, cre]
MaintainerNicholas Rockwood <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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PLmixed documentation built on May 3, 2018, 1:04 a.m.