Package: rrMixture
Type: Package
Title: Reduced-Rank Mixture Models
Version: 0.1-2
Date: 2022-04-06
Authors@R: c(person("Suyeon", "Kang", role = c("aut", "cre"),
                      email = "skang062@ucr.edu"),
             person("Weixin", "Yao", role = "aut",
                      email = "weixin.yao@ucr.edu"),
             person("Kun", "Chen", role = "aut",
                      email = "kun.chen@uconn.edu"))
Description: We implement full-ranked, rank-penalized, and adaptive nuclear norm penalized estimation methods using multivariate mixture models proposed by Kang, Chen, and Yao (2022+).
Depends: R (>= 3.4.0)
Imports: MASS, Rcpp (>= 1.0.8), Matrix, matrixcalc, gtools, utils
Suggests: bayesm, rrpack, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2022-04-08 02:56:06 UTC; Suyeon Kang
Author: Suyeon Kang [aut, cre],
  Weixin Yao [aut],
  Kun Chen [aut]
Maintainer: Suyeon Kang <skang062@ucr.edu>
Repository: CRAN
Date/Publication: 2022-04-08 03:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 12:39:18 UTC; unix
Archs: rrMixture.so.dSYM
