Mixture Models for Clustering and Classification R package mixture version 2.2.0 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>. Software Depends: R (>= 3.5.0), lattice (>= 0.20) Imports: Rcpp (>= 1.0.2), methods LinkingTo: Rcpp, RcppArmadillo, BH, RcppGSL Paul D. McNicholas <mcnicholas@math.mcmaster.ca> Comprehensive R Archive Network (CRAN) Nik Pocuca [aut] (ORCID: <https://orcid.org/0000-0001-8365-0751>), Ryan P. Browne [aut] (ORCID: <https://orcid.org/0000-0003-4543-0218>), Paul D. McNicholas [aut, cre] (ORCID: <https://orcid.org/0000-0002-2482-523X>), Alexa A. Sochaniwsky [aut] (ORCID: <https://orcid.org/0009-0005-8043-5091>) GPL (>= 2) 2025-12-18 application/tgz https://CRAN.R-project.org/package=mixture doi:10.32614/CRAN.package.mixture