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: 1.0.4
Depends: R (≥ 2.14.0)
Imports: stats, graphics, parallel, mrfDepth (≥ 1.0.5), robustbase (≥ 0.92-6), pcaPP, rrcov, rrcovHD (≥ 0.2-3), elasticnet, mvtnorm, pracma
Published: 2018-02-26
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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: rospca results


Reference manual: rospca.pdf
Package source: rospca_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: rospca_1.0.4.tgz
OS X Mavericks binaries: r-oldrel: rospca_1.0.3.tgz
Old sources: rospca archive


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