jrosen48/tidymixmod: Easily perform mixture modeling for model-based clustering
Version 0.1.0

Easily perform mixture modeling for model-based clustering based on the MCLUST package. Provides functionality in terms of how the residual covariance matrix of the clustered variables is structured familiar to those who use Latent Profile Analysis. Follows a tidy philosophy, in that output is in the form of a tibble (a data.frame) that can subsequently be computed on.

Getting started

Package details

Authorperson(c("Joshua", "M"), "Rosenberg", role = c("aut", "cre"), email = "[email protected]")
MaintainerJoshua M. Rosenberg <[email protected]>
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("devtools")
library(devtools)
install_github("jrosen48/tidymixmod")
jrosen48/tidymixmod documentation built on Oct. 14, 2017, 6:43 a.m.