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.
|Author||Minjeong Jeon [aut], Nicholas Rockwood [aut, cre]|
|Maintainer||Nicholas Rockwood <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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