COMIX: Coarsened Mixtures of Hierarchical Skew Kernels

Bayesian fit of a Dirichlet Process Mixture with hierarchical multivariate skew normal kernels and coarsened posteriors. For more information, see Gorsky, Chan and Ma (2020) <arXiv:2001.06451>.

Version: 0.1.6
Imports: Rcpp (≥ 0.12.18)
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
Suggests: sn, knitr
Published: 2022-05-12
Author: S. Gorsky [aut, cre], C. Chan [ctb], L. Ma [ctb]
Maintainer: S. Gorsky <sgorsky at umass.edu>
License: CC0
NeedsCompilation: yes
CRAN checks: COMIX results

Documentation:

Reference manual: COMIX.pdf
Vignettes: COMIX

Downloads:

Package source: COMIX_0.1.6.tar.gz
Windows binaries: r-devel: COMIX_0.1.6.zip, r-release: COMIX_0.1.6.zip, r-oldrel: COMIX_0.1.6.zip
macOS binaries: r-release (arm64): COMIX_0.1.6.tgz, r-oldrel (arm64): COMIX_0.1.6.tgz, r-release (x86_64): COMIX_0.1.6.tgz, r-oldrel (x86_64): COMIX_0.1.6.tgz
Old sources: COMIX archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=COMIX to link to this page.