Estimate (Generalized) Linear Mixed Models with Factor Structures
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-30
- ERROR13 OK, 1 ERROR2026-03-28
- OK14 OK2026-03-10
Documentation
Documentation signals are not tracked yet for this package.
Downloads
Dependencies
Installing PLmixed adds 11 packages (6 with compiled code, 14 MB of source tarballs). Heaviest: lme4 4.1 MB, optimx 2.2 MB, nloptr 2.1 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.8Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.72023-08-24 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.1.62022-06-22 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.52020-12-14 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.42019-08-19 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.1.32018-05-02 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.1.22017-10-14 · diff ↗
Package metadata
- First published
- 2017-07-18
- Total releases
- 9 / 9 yrs
- License
- GPL (>= 2) OSI
- Download size
- 1.1 MB
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