Missingness Aware Gaussian Mixture Models

Parameter estimation and classification for Gaussian Mixture Models (GMMs) in the presence of missing data. This package uses an expectation conditional maximization algorithm to obtain maximum likelihood estimates for all model parameters and maximum a posteriori classifications of the input vectors. For additional details, please see McCaw ZR, Julienne H, Aschard H. "MGMM: an R package for fitting Gaussian Mixture Models on Incomplete Data." .


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install.packages("MGMM")

0.3.1 by Zachary McCaw, 2 months ago


Browse source code at https://github.com/cran/MGMM


Authors: Zachary McCaw [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports cluster, methods, mvnfast, plyr, Rcpp, stats

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN