MCMCglmm

Author: Jarrod Hadfield
Contact: https://cran.r-project.org/web/packages/MCMCglmm/index.html
Description: MCMCglmm: MCMC Generalised Linear Mixed Models. MCMCglmm is a package for fitting Generalised Linear Mixed Models using Markov chain MonteCarlo techniques (Hadfield 2009). Most commonly used distributions like the normal and the Pois-son are supported together with some useful but less popular ones like the zero-inflated Poisson andthe multinomial. Missing values and left, right and interval censoring are accommodated for alltraits. The package also supports multi-trait models where the multiple responses can follow differ-ent types of distribution. The package allows various residual and random-effect variance structures to be specified including heterogeneous variances, unstructured covariance matrices and random re-gression (e.g. random slope models). Three special types of variance structure that can be specifiedare those associated with pedigrees (animal models), phylogenies (the comparative method) andmeasurement error (meta-analysis).
Analyses: Factor/Latent Structure; Latent Class Models; Multidimensional Models; Reliability; Simulation/Resampling; Validity
System Requirements: Windows, Mac OS, & Linux
Measurement Model: Rasch
License Type: Open-Source (R)
Documentation: user manual, sample datasets