rebeccadeek/zinLDA: Zero-Inflated Latent Dirichlet Allocation

Zero-inflated latent Dirichlet allocation (zinLDA) is an unsupervised, tri- level, hierarchical Bayesian model that facilitates detection of sparse latent clusters. This package provides implementation of a Markov chain Monte Carlo (MCMC) sampling procedure for a zinLDA model. Additionally, it provides a method for simulating sparse count data from an underlying zinLDA model.

install.packages("remotes")
remotes::install_github("rebeccadeek/zinLDA")