Package: ltsspca 0.1.0
ltsspca: Sparse Principal Component Based on Least Trimmed Squares
Implementation of robust and sparse PCA algorithm of Wang and Van Aelst (2019) <doi:10.1080/00401706.2019.1671234>.
Authors:
ltsspca_0.1.0.tar.gz
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ltsspca_0.1.0.tgz(r-4.4-x86_64)ltsspca_0.1.0.tgz(r-4.4-arm64)ltsspca_0.1.0.tgz(r-4.3-x86_64)ltsspca_0.1.0.tgz(r-4.3-arm64)
ltsspca_0.1.0.tar.gz(r-4.5-noble)ltsspca_0.1.0.tar.gz(r-4.4-noble)
ltsspca_0.1.0.tgz(r-4.4-emscripten)ltsspca_0.1.0.tgz(r-4.3-emscripten)
ltsspca.pdf |ltsspca.html✨
ltsspca/json (API)
# Install 'ltsspca' in R: |
install.packages('ltsspca', repos = c('https://yixinww.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yixinww/ltsspca/issues
Datasets:
- Glass - Glass data
Last updated 5 years agofrom:8901400d0f. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win-x86_64 | NOTE | Nov 06 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 06 2024 |
R-4.4-win-x86_64 | NOTE | Nov 06 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 06 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 06 2024 |
R-4.3-win-x86_64 | NOTE | Nov 06 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 06 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 06 2024 |
Exports:AngledataSimltspcaltsspcaltsspcaRwmydiagPlotsPCA_rSVD
Dependencies:pracmaRcppRcppArmadillo