Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Minjeong Jeon [aut], Nicholas Rockwood [aut, cre] |
| Maintainer | Nicholas Rockwood <njrockwood@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.1.7 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the PLmixed package in your browser
Any scripts or data that you put into this service are public.
