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
- Help pages
- 18includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 100%
- Return-value docs
- 50%
- Help pages citing references
- 11%
Downloads
Dependencies
Installing PLmixed adds 11 packages (6 with compiled code, 14 MB of source tarballs). Heaviest: lme4 4.3 MB, optimx 2.2 MB, nloptr 2.1 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 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
- Minimum R
- ≥ 3.2.2
- Bundled data
- 1.0 MB / 4 files
- Download size
- 1.1 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("PLmixed")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.