The following R software is available.

pgmm: Parsimonious Gaussian Mixture Models

teigen: Model-based clustering and classification with the multivariate t-distribution

longclust: Model-Based Clustering and Classification for Longitudinal Data

MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

mixture: Mixture Models for Clustering and Classification

ContaminatedMixt: Model-based clustering and classification with the multivariate contaminated normal distribution

FPDclustering: PD-clustering and factor PD-clustering

sensory: Simultaneous model-based clustering and imputation via a progressive expectation-maximization algorithm

pmcgd: Parsimonious Mixtures of Contaminated Gaussian Distributions

vscc: Variable Selection for Clustering and Classification

VLF: Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records