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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 (2024) <doi:10.1214/22-BA1356>.

Version:1.0.1
Imports:Rcpp (≥ 0.12.18),dplyr,ggplot2,stringr,coda,tidyr,rlang, methods
LinkingTo:Rcpp,RcppArmadillo,RcppEigen,RcppNumerical
Suggests:sn,R.rsp
Published:2025-11-12
DOI:10.32614/CRAN.package.COMIX
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.html ,COMIX.pdf
Vignettes:COMIX (source)

Downloads:

Package source: COMIX_1.0.1.tar.gz
Windows binaries: r-devel:COMIX_1.0.1.zip, r-release:COMIX_1.0.1.zip, r-oldrel:COMIX_1.0.1.zip
macOS binaries: r-release (arm64):COMIX_1.0.1.tgz, r-oldrel (arm64):COMIX_1.0.1.tgz, r-release (x86_64):COMIX_1.0.1.tgz, r-oldrel (x86_64):COMIX_1.0.1.tgz
Old sources: COMIX archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=COMIXto link to this page.


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