PLmixed: Estimate (Generalized) Linear Mixed Models with Factor Structures (original) (raw)
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: | 0.1.7 |
|---|---|
| Depends: | R (≥ 3.2.2) |
| Imports: | lme4, Matrix (≥ 1.1.1), numDeriv, stats, optimx |
| Suggests: | knitr, rmarkdown, irtoys |
| Published: | 2023-08-23 |
| DOI: | 10.32614/CRAN.package.PLmixed |
| Author: | Minjeong Jeon [aut], Nicholas Rockwood [aut, cre] |
| Maintainer: | Nicholas Rockwood |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | PLmixed citation info |
| Materials: | README |
| In views: | Psychometrics |
| CRAN checks: | PLmixed results |
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