lvmcomplvmcomp is a R package for analyzing large scale latent variable models with efficient parallel algorithms. It employs stochastic EM algorithms for latent variable models with a highdimensional latent space. So far, we provide functions for confirmatory item factor analysis based on the multidimensional two parameter logistic (M2PL) model and the generalized multidimensional partial credit model. These functions scale well for problems with many latent traits (e.g., thirty or even more) and are virtually tuningfree. The computation is facilitated by multiprocessing 'OpenMP’ API. Major Features
Downloadlvmcomp package has been published on CRAN. Install it simply by running the following command in R console. > install.packages(“lvmcomp”) Source code can be found on lvmcomp's GitHub page. References
