MultiModalR - Fast Bayesian Probability Estimation for Multimodal Categorical Data

Fast Bayesian probability estimation for multimodal categorical data using speed-optimized MCMC implementation (Metropolis-Hastings-within-partial-Gibbs). The package provides efficient algorithms for detecting subpopulations, estimating mixture components, and assigning observations to subgroups with probability estimates.