Package: MNARclust
Type: Package
Title: Clustering Data with Non-Ignorable Missingness using
        Semi-Parametric Mixture Models
Version: 1.1.0
Description: 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) <arXiv:2009.07662>. 
Authors@R: c(person(given="Marie", family="Du Roy de Chaumaray", role = "aut"),
          person(given="Matthieu", family="Marbac", role = c("aut", "cre", "cph"), email = "matthieu.marbac-lourdelle@ensai.fr"))
Maintainer: Matthieu Marbac <matthieu.marbac-lourdelle@ensai.fr>
License: GPL (>= 2)
Imports: Rcpp, parallel, sn, rmutil
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: true
URL: https://arxiv.org/abs/2009.07662
Author: Marie Du Roy de Chaumaray [aut],
  Matthieu Marbac [aut, cre, cph]
Collate: algoCat.R algoCont.R algoMixed.R MNARclust.R RcppExports.R
        sampler.R tools.R
LazyData: true
LazyLoad: yes
Encoding: UTF-8
Depends: R (>= 3.5)
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2021-12-02 13:04:54 UTC; matt
Repository: CRAN
Date/Publication: 2021-12-02 13:20:10 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 07:02:01 UTC; unix
Archs: MNARclust.so.dSYM
