Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models

Clustering of data under a non-ignorable missingness mechanism. Clustering is achieved by a semi-parametric mixture model and missingness is managed by using the pattern-mixture approach. More details of the approach are available in Du Roy de Chaumaray et al. (2020) .


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1.1.0 by Matthieu Marbac, 2 months ago

Browse source code at

Authors: Marie Du Roy de Chaumaray [aut] , Matthieu Marbac [aut, cre, cph]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, parallel, sn, rmutil

Linking to Rcpp, RcppArmadillo

See at CRAN