Estimate (Generalized) Linear Mixed Models with Factor Structures R package PLmixed version 0.1.8 CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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. Software Depends: R (>= 3.2.2) Imports: lme4, Matrix (>= 1.1.1), numDeriv, stats, optimx Suggests: knitr, rmarkdown, irtoys Nicholas Rockwood <njrockwood@gmail.com> Comprehensive R Archive Network (CRAN) Minjeong Jeon [aut], Nicholas Rockwood [aut, cre] GPL (>= 2) 2025-10-12 application/tgz https://CRAN.R-project.org/package=PLmixed doi:10.32614/CRAN.package.PLmixed