Package: PLmixed 0.1.7
PLmixed: Estimate (Generalized) Linear Mixed Models with Factor Structures
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.
Authors:
PLmixed_0.1.7.tar.gz
PLmixed_0.1.7.zip(r-4.5)PLmixed_0.1.7.zip(r-4.4)PLmixed_0.1.7.zip(r-4.3)
PLmixed_0.1.7.tgz(r-4.4-any)PLmixed_0.1.7.tgz(r-4.3-any)
PLmixed_0.1.7.tar.gz(r-4.5-noble)PLmixed_0.1.7.tar.gz(r-4.4-noble)
PLmixed_0.1.7.tgz(r-4.4-emscripten)PLmixed_0.1.7.tgz(r-4.3-emscripten)
PLmixed.pdf |PLmixed.html✨
PLmixed/json (API)
| # Install 'PLmixed' in R: |
| install.packages('PLmixed', repos = c('https://njrockwood.r-universe.dev', 'https://cloud.r-project.org')) |
- IRTsim - Simulated multilevel IRT dataset.
- JUDGEsim - Simulated Multi-rater Multi-response dataset.
- KYPSitemsim - Simulated KYPS item-level dataset.
- KYPSsim - Simulated KYPS dataset.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:7378a400f2. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 17 2024 |
| R-4.5-win | NOTE | Sep 17 2024 |
| R-4.5-linux | NOTE | Sep 17 2024 |
| R-4.4-win | OK | Sep 17 2024 |
| R-4.4-mac | OK | Sep 17 2024 |
| R-4.3-win | OK | Sep 17 2024 |
| R-4.3-mac | OK | Sep 17 2024 |
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrnumDerivoptimxpracmaRcppRcppEigen
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| PLmixed: A package for estimating GLMMs with factor structures. | PLmixed-package |
| coef.PLmod | coef.PLmod |
| fitted.PLmod | fitted.PLmod |
| fixef.PLmod | fixef.PLmod |
| Simulated multilevel IRT dataset. | IRTsim |
| iterPlot | iterPlot |
| Simulated Multi-rater Multi-response dataset. | JUDGEsim |
| Simulated KYPS item-level dataset. | KYPSitemsim |
| Simulated KYPS dataset. | KYPSsim |
| Fit GLMM with Factor Structure | PLmixed |
| plot.PLmod | plot.PLmod |
| predict.PLmod | predict.PLmod |
| print.PLmod | print.PLmod |
| print.summary.PLmod | print.summary.PLmod |
| ranef.PLmod | ranef.PLmod |
| residuals.PLmod | residuals.PLmod |
| simulate.PLmod | simulate.PLmod |
| summary.PLmod | summary.PLmod |
