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rospca: Robust Sparse PCA using the ROSPCA Algorithm

Implementation of robust sparse PCA using the ROSPCA algorithm of Hubert et al. (2016) <doi:10.1080/00401706.2015.1093962>.

Version: 1.1.0
Depends: R (≥ 2.14.0)
Imports: stats, graphics, parallel, mrfDepth (≥ 1.0.5), robustbase (≥ 0.92-6), pcaPP, rrcov, elasticnet, mvtnorm, pracma
Published: 2024-03-31
DOI: 10.32614/CRAN.package.rospca
Author: Tom Reynkens ORCID iD [aut, cre], Valentin Todorov [ctb] (Original R code for PcaHubert and diagnostic plot in rrcov package), Mia Hubert [ctb], Eric Schmitt [ctb], Tim Verdonck [ctb]
Maintainer: Tom Reynkens <tomreynkens at hotmail.com>
BugReports: https://github.com/TReynkens/rospca/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/TReynkens/rospca
NeedsCompilation: no
Materials: NEWS
In views: Robust
CRAN checks: rospca results

Documentation:

Reference manual: rospca.pdf

Downloads:

Package source: rospca_1.1.0.tar.gz
Windows binaries: r-devel: rospca_1.1.0.zip, r-release: rospca_1.1.0.zip, r-oldrel: rospca_1.1.0.zip
macOS binaries: r-release (arm64): rospca_1.1.0.tgz, r-oldrel (arm64): rospca_1.1.0.tgz, r-release (x86_64): rospca_1.1.0.tgz, r-oldrel (x86_64): rospca_1.1.0.tgz
Old sources: rospca archive

Reverse dependencies:

Reverse suggests: cellWise

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.