Package: mixture
Type: Package
Title: Mixture Models for Clustering and Classification
Version: 2.0.4
Date: 2021-04-14
Authors@R: c(person("Nik", "Pocuca", role=c("aut")), person("Ryan P.", "Browne", role = c("aut")), person("Paul D.", "McNicholas", role = c("aut", "cre"), email = "mcnicholas@math.mcmaster.ca"))
Author: Nik Pocuca [aut],
  Ryan P. Browne [aut],
  Paul D. McNicholas [aut, cre]
Maintainer: Paul D. McNicholas <mcnicholas@math.mcmaster.ca>
Description: 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>.
Repository: CRAN
LazyLoad: yes
NeedsCompilation: yes
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.2)
LinkingTo: Rcpp, RcppArmadillo, BH, RcppGSL
Depends: R (>= 3.5.0), lattice (>= 0.20)
SystemRequirements: GNU GSL
Packaged: 2021-04-16 13:08:54 UTC; nik
Date/Publication: 2021-04-19 14:50:13 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-17 21:57:07 UTC; windows
Archs: i386, x64
