Reduced-Rank Mixture Models R package rrMixture version 0.1-2 We implement full-ranked, rank-penalized, and adaptive nuclear norm penalized estimation methods using multivariate mixture models proposed by Kang, Chen, and Yao (2022+). Software Depends: R (>= 3.4.0) Imports: MASS, Rcpp (>= 1.0.8), Matrix, matrixcalc, gtools, utils LinkingTo: Rcpp, RcppArmadillo Suggests: bayesm, rrpack, knitr, rmarkdown Suyeon Kang <skang062@ucr.edu> Comprehensive R Archive Network (CRAN) Suyeon Kang [aut, cre], Weixin Yao [aut], Kun Chen [aut] GPL (>= 2) 2022-04-08 application/tgz https://CRAN.R-project.org/package=rrMixture doi:10.32614/CRAN.package.rrMixture