| PLmixed-package {PLmixed} | R Documentation |
PLmixed: A package for estimating GLMMs with factor structures.
Description
The PLmixed package's main function is PLmixed, which estimates
the model through nested maximizations using the lme4 and optimx packages
(previously the optim function). This extends the capabilities of lme4
to allow for estimated factor structures, making it useful for estimating multilevel
factor analysis and item response theory models with an arbitrary number of hierarchical
levels or crossed random effects.
References
Rockwood, N. J., & Jeon, M. (2019). Estimating complex measurement and growth models using the R package PLmixed.Multivariate Behavioral Research, 54(2), 288-306.
Jeon, M., & Rabe-Hesketh, S. (2012). Profile-likelihood approach for estimating generalized linear mixed models with factor structures. Journal of Educational and Behavioral Statistics, 37(4), 518-542.