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>
License: CC0
NeedsCompilation: yes
CRAN checks: COMIX results


Reference manual: COMIX.pdf
Vignettes: COMIX


Package source: COMIX_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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