Robust Model-Based Clustering for Data Sets with Missing Values at Random

Implementation of robust model based cluster analysis with missing data. The models used are: Multivariate Contaminated Normal Mixtures (MCNM), Multivariate Student's t Mixtures (MtM), and Multivariate Normal Mixtures (MNM) for data sets with missing values at random. "Cluster analysis and outlier detection with missing data" Hung Tong, Cristina Tortora (2020) .


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install.packages("MixtureMissing")

1.0.0 by Hung Tong, 2 months ago


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


Authors: Hung Tong [aut, cre] , Cristina Tortora [aut, ths, dgs]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ContaminatedMixt, mvtnorm, mnormt, cluster, rootSolve, ggplot2, GGally

Suggests mice


See at CRAN