msPCA
Sparse Principal Component Analysis with Multiple Principal Components
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | msPCA_0.2.0.tar.gz |
107.9 KiB |
0.2.0 |
rolling linux/noble R-4.5 | msPCA_0.2.0.tar.gz |
112.6 KiB |
0.2.0 |
rolling source/ R- | msPCA_0.2.0.tar.gz |
12.4 KiB |
0.2.0 |
latest linux/jammy R-4.5 | msPCA_0.2.0.tar.gz |
107.9 KiB |
0.2.0 |
latest linux/noble R-4.5 | msPCA_0.2.0.tar.gz |
112.6 KiB |
0.2.0 |
latest source/ R- | msPCA_0.2.0.tar.gz |
12.4 KiB |
0.2.0 |
2026-04-26 source/ R- | msPCA_0.2.0.tar.gz |
12.4 KiB |
0.2.0 |
2026-04-23 source/ R- | msPCA_0.2.0.tar.gz |
12.4 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | msPCA_0.2.0.zip |
430.0 KiB |