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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+).

Versions across snapshots

VersionRepositoryFileSize
0.1-2 rolling linux/jammy R-4.5 rrMixture_0.1-2.tar.gz 179.9 KiB
0.1-2 rolling linux/noble R-4.5 rrMixture_0.1-2.tar.gz 181.1 KiB
0.1-2 rolling source/ R- rrMixture_0.1-2.tar.gz 68.4 KiB
0.1-2 latest linux/jammy R-4.5 rrMixture_0.1-2.tar.gz 179.9 KiB
0.1-2 latest linux/noble R-4.5 rrMixture_0.1-2.tar.gz 181.1 KiB
0.1-2 latest source/ R- rrMixture_0.1-2.tar.gz 68.4 KiB
0.1-2 2026-04-26 source/ R- rrMixture_0.1-2.tar.gz 68.4 KiB
0.1-2 2026-04-23 source/ R- rrMixture_0.1-2.tar.gz 68.4 KiB
0.1-2 2026-04-09 windows/windows R-4.5 rrMixture_0.1-2.zip 501.6 KiB
0.1-2 2025-04-20 source/ R- rrMixture_0.1-2.tar.gz 68.4 KiB

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