alexWhitworth/emclustr: Mixture Modeling for Model-Based Clustering and Classification

emclustr is a package for finite mixture modeling via EM algorithm. Its main extensions to the "mclust" package are (1) mixture modeling non-Gaussian distributed data, and (2) mixture modeling for Gaussian distributed data with missing values.

Getting started

Package details

Maintainer
LicenseGPL
Version0.4.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("alexWhitworth/emclustr")
alexWhitworth/emclustr documentation built on May 10, 2017, 11:13 p.m.