anjalisilva/mixMVPLN: Mixtures of Matrix Variate Poisson-log Normal Distributions

Performs model-based clustering using mixtures of matrix variate Poisson-log normal (MVPLN) model. Markov chain Monte Carlo expectation-maximization algorithm (MCMC-EM) is used for parameter estimation. Information criteria (AIC, BIC, AIC3 and ICL) are offered for model selection.

Getting started

Package details

MaintainerAnjali Silva <anjali.silva@uhnresearch.ca>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("anjalisilva/mixMVPLN")
anjalisilva/mixMVPLN documentation built on April 10, 2020, 10:10 a.m.