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 |
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