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rrMixture: Reduced-Rank Mixture Models

We implement full-ranked, rank-penalized, and adaptive nuclear norm penalized estimation methods using multivariate mixture models proposed by Kang, Chen, and Yao (2022+).

Version: 0.1-2
Depends: R (≥ 3.4.0)
Imports: MASS, Rcpp (≥ 1.0.8), Matrix, matrixcalc, gtools, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: bayesm, rrpack, knitr, rmarkdown
Published: 2022-04-08
DOI: 10.32614/CRAN.package.rrMixture
Author: Suyeon Kang [aut, cre], Weixin Yao [aut], Kun Chen [aut]
Maintainer: Suyeon Kang <skang062 at ucr.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: rrMixture results

Documentation:

Reference manual: rrMixture.pdf
Vignettes: Introduction to rrMixture

Downloads:

Package source: rrMixture_0.1-2.tar.gz
Windows binaries: r-devel: rrMixture_0.1-2.zip, r-release: rrMixture_0.1-2.zip, r-oldrel: rrMixture_0.1-2.zip
macOS binaries: r-release (arm64): rrMixture_0.1-2.tgz, r-oldrel (arm64): rrMixture_0.1-2.tgz, r-release (x86_64): rrMixture_0.1-2.tgz, r-oldrel (x86_64): rrMixture_0.1-2.tgz
Old sources: rrMixture archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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