PLmixed

Author: Minjeong Jeon, Nicholas Rockwood
Contact: https://cran.r-project.org/web/packages/PLmixed/index.html
Description: PLmixed: Estimate (Generalized) Linear Mixed Models with Factor Structures. Utilizes the 'lme4' package and 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>. 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.
Analyses: Item & Test Analysis; Scaling; Simulation/Resampling
System Requirements: Windows, Linux, or Mac
Measurement Model: Latent Structure
License Type: Open-Source (R)
Documentation: user manual, simulated dataset