Package: msPCA 0.4.1
Jean Pauphilet
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" (2026) <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.
Authors:
msPCA_0.4.1.tar.gz
msPCA_0.4.1.tar.gz(r-4.7-arm64)msPCA_0.4.1.tar.gz(r-4.7-x86_64)msPCA_0.4.1.tar.gz(r-4.6-arm64)msPCA_0.4.1.tar.gz(r-4.6-x86_64)
msPCA_0.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
msPCA/json (API)
NEWS
| # Install 'msPCA' in R: |
| install.packages('msPCA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1835faef26. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 134 | ||
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 245 | ||
| linux-release-arm64 | OK | 126 | ||
| linux-release-x86_64 | OK | 126 | ||
| wasm-release | OK | 131 |
Exports:feasibility_violation_offfraction_variance_explainedfraction_variance_explained_perPCmspcaprint_mspcatpm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Feasibility Violation | feasibility_violation_off |
| Fraction of Variance Explained | fraction_variance_explained |
| Fraction of Variance Explained per PC | fraction_variance_explained_perPC |
| Multiple Sparse PCA | mspca |
| Print msPCA Output | print_mspca |
| Truncated Power Method | tpm |
| Variance Explained per PC | variance_explained_perPC |
