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