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.
| Version: | 0.1.8 |
| Depends: | R (≥ 3.2.2) |
| Imports: | lme4, Matrix (≥ 1.1.1), numDeriv, stats, optimx |
| Suggests: | knitr, rmarkdown, irtoys |
| Published: | 2025-10-12 |
| DOI: | 10.32614/CRAN.package.PLmixed |
| Author: | Minjeong Jeon [aut], Nicholas Rockwood [aut, cre] |
| Maintainer: | Nicholas Rockwood <njrockwood at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | PLmixed citation info |
| Materials: | README |
| In views: | Psychometrics |
| CRAN checks: | PLmixed results |
| Reference manual: | PLmixed.html , PLmixed.pdf |
| Vignettes: |
PLmixed: An Introduction (source, R code) |
| Package source: | PLmixed_0.1.8.tar.gz |
| Windows binaries: | r-devel: PLmixed_0.1.8.zip, r-release: PLmixed_0.1.8.zip, r-oldrel: PLmixed_0.1.8.zip |
| macOS binaries: | r-release (arm64): PLmixed_0.1.8.tgz, r-oldrel (arm64): PLmixed_0.1.8.tgz, r-release (x86_64): PLmixed_0.1.8.tgz, r-oldrel (x86_64): PLmixed_0.1.8.tgz |
| Old sources: | PLmixed archive |
| Reverse suggests: | galamm |
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