msPCA
Sparse Principal Component Analysis with Multiple Principal Components
v0.2.0
·
Jan 12, 2026
·
MIT + file LICENSE
Description
Implements an algorithm for computing multiple sparse principal components of a dataset. The method is based on Cory-Wright and Pauphilet "Sparse PCA with Multiple Principal Components" (2022) <doi:10.48550/arXiv.2209.14790>. The algorithm uses an iterative deflation heuristic with a truncated power method applied at each iteration to compute sparse principal components with controlled sparsity.
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| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE
r-oldrel-macos-arm64
installed package size
installed size is 12.7Mb
sub-directories of 1Mb or more:
libs 12.6Mb
NOTE
r-oldrel-macos-x86_64
installed package size
installed size is 12.9Mb
sub-directories of 1Mb or more:
libs 12.8Mb
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0.2.0
Mar 9, 2026