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: 1.0.0
Imports: Rcpp (≥ 0.12.18), dplyr, ggplot2, stringr, coda, tidyr, rlang, methods
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
Suggests: sn, R.rsp
Published: 2022-11-23
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_1.0.0.tar.gz
Windows binaries: r-devel: COMIX_1.0.0.zip, r-release: COMIX_1.0.0.zip, r-oldrel: COMIX_1.0.0.zip
macOS binaries: r-release (arm64): COMIX_0.1.6.tgz, r-oldrel (arm64): COMIX_0.1.6.tgz, r-release (x86_64): COMIX_1.0.0.tgz, r-oldrel (x86_64): COMIX_1.0.0.tgz
Old sources: COMIX archive

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