zhenkewu/slamR: Structured Latent Attribute Models in R

This package implements fast algorithms to fit structured latent class models (SLAM) for high-dimensional dependent binary data (Gu and Xu, 2019,'JMLR'). SLAMs are a special family of discrete latent variable models widely used in social and biological sciences. The goal is to learn from high-dimensional data the significant attribute patterns based on a SLAM with potentially high-dimensional configurations of the latent attributes. The algorithms perform selection of the attribute patterns, estimation of the unknown Q-matrix connecting the measurements to the latent attributes, and other model parametersincluding proportion parameters and response probability parameters.

install.packages("remotes")
remotes::install_github("zhenkewu/slamR")