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rrcovHD

Robust Multivariate Methods for High Dimensional Data

Robust multivariate methods for high dimensional data including outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>), robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>), robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>), and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>).

Versions across snapshots

VersionRepositoryFileSize
0.3-1 rolling linux/jammy R-4.5 rrcovHD_0.3-1.tar.gz 461.9 KiB
0.3-1 rolling linux/noble R-4.5 rrcovHD_0.3-1.tar.gz 461.0 KiB
0.3-1 rolling source/ R- rrcovHD_0.3-1.tar.gz 58.3 KiB
0.3-1 latest linux/jammy R-4.5 rrcovHD_0.3-1.tar.gz 461.9 KiB
0.3-1 latest linux/noble R-4.5 rrcovHD_0.3-1.tar.gz 461.0 KiB
0.3-1 latest source/ R- rrcovHD_0.3-1.tar.gz 58.3 KiB
0.3-1 2026-04-26 source/ R- rrcovHD_0.3-1.tar.gz 58.3 KiB
0.3-1 2026-04-23 source/ R- rrcovHD_0.3-1.tar.gz 58.3 KiB
0.3-1 2026-04-09 windows/windows R-4.5 rrcovHD_0.3-1.zip 752.4 KiB
0.3-1 2025-04-20 source/ R- rrcovHD_0.3-1.tar.gz 58.3 KiB

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