PLmixed
0.1.8Estimate (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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-3014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-2813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 50%
- References docs
- 11%
Downloads
Dependencies
Code & Tests
Datasets
People & History
9 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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 ↗
Show 3 earlier events
- 0.1.12017-08-31 · diff ↗
- 0.1.02017-07-18
- RR 3.4.0 released · 2017-04-21
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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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