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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>.

Version:0.1.0
Depends:R (≥ 3.2.0)
Imports:Rcpp (≥ 1.0.1),pracma
LinkingTo:Rcpp,RcppArmadillo
Suggests:robustbase,rrcov, stats,mvtnorm, graphics,knitr,rmarkdown,testthat
Published:2019-10-09
DOI:10.32614/CRAN.package.ltsspca
Author:Yixin Wang [aut, cre], Stefan Van Aelst [aut], Holger Cevallos Valdiviezo [ctb] (Original R code for the LTS-PCA algorithm), Tom Reynkens [ctb] (Original R code for angle in the rospca package)
Maintainer:Yixin Wang <wangyixin07 at outlook.com>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
Materials:README
CRAN checks:ltsspca results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:ltsspca.html ,ltsspca.pdf
Vignettes:LTS-SPCA example (source,R code)

Downloads:

Package source: ltsspca_0.1.0.tar.gz
Windows binaries: r-devel:ltsspca_0.1.0.zip, r-release:ltsspca_0.1.0.zip, r-oldrel:ltsspca_0.1.0.zip
macOS binaries: r-release (arm64):ltsspca_0.1.0.tgz, r-oldrel (arm64):ltsspca_0.1.0.tgz, r-release (x86_64):ltsspca_0.1.0.tgz, r-oldrel (x86_64):ltsspca_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ltsspcato link to this page.


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