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PLmixed

Estimate (Generalized) Linear Mixed Models with Factor Structures

v0.1.8 · Oct 11, 2025 · GPL (>= 2)

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.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

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Dependency Network

Dependencies Reverse dependencies lme4 Matrix numDeriv optimx galamm PLmixed

Version History

new 0.1.8 Mar 10, 2026