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: 2026-07-03 11:30:45 UTC; root
Author: Suyeon Kang [aut, cre], Weixin Yao [aut], Kun Chen [aut]
Maintainer: Suyeon Kang <skang062@ucr.edu>
Repository: https://syeonkang.r-universe.dev
Date/Publication: 2022-04-08 02:30:02 UTC
RemoteUrl: https://github.com/cran/rrMixture
RemoteRef: HEAD
RemoteSha: 6c87645d9b6ddb573874ec0d94d75da3ba23f07b