Implements least-squares sparse principal component analysis (LS-SPCA). The approach follows Merola (2015) <doi:10.1111/anzs.12128> and Merola and Chen (2019) <doi:10.1016/j.jmva.2019.04.001>.
| Version: | 1.1.1 |
| Depends: | R (≥ 4.3) |
| Imports: | Rcpp (≥ 1.0.14), ggplot2 (≥ 4.0.0), RMTstat (≥ 0.3.1), scales, rlang |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | testthat (≥ 3.0.0), peakRAM (≥ 1.0.2), knitr, rmarkdown, bench, R.rsp |
| Published: | 2026-07-10 |
| DOI: | 10.32614/CRAN.package.spca |
| Author: | Giovanni Maria Merola [aut, cre] |
| Maintainer: | Giovanni Maria Merola <merolagio at gmail.com> |
| BugReports: | https://github.com/merolagio/spca/issues |
| License: | AGPL-3 |
| URL: | https://github.com/merolagio/spca |
| NeedsCompilation: | yes |
| Citation: | spca citation info |
| Materials: | README, NEWS |
| CRAN checks: | spca results |
| Reference manual: | spca.html , spca.pdf |
| Vignettes: |
Computing Least Squares Sparse Principal Components with spca (source, R code) Introduction to the spca package (source, R code) |
| Package source: | spca_1.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: spca_1.1.1.zip, r-oldrel: spca_1.1.1.zip |
| macOS binaries: | r-release (arm64): spca_1.1.1.tgz, r-oldrel (arm64): spca_1.1.1.tgz, r-release (x86_64): spca_1.1.1.tgz, r-oldrel (x86_64): spca_1.1.1.tgz |
| Old sources: | spca archive |
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