FastHCS: FastHCS Robust Algorithm for Principal Component Analysis

The FastHCS algorithm of Schmitt and Vakili (2014) <doi:10.1007/s11222-015-9602-5> for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.

Version: 0.0.6
Depends: R (≥ 3.1.1), matrixStats, robustbase
Imports: methods
LinkingTo: Rcpp, RcppEigen
Suggests: mvtnorm
Published: 2018-05-22
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: FastHCS results

Downloads:

Reference manual: FastHCS.pdf
Package source: FastHCS_0.0.6.tar.gz
Windows binaries: r-prerelease: FastHCS_0.0.6.zip, r-release: FastHCS_0.0.6.zip, r-oldrel: FastHCS_0.0.6.zip
macOS binaries: r-prerelease: FastHCS_0.0.6.tgz, r-release: FastHCS_0.0.6.tgz, r-oldrel: FastHCS_0.0.6.tgz
Old sources: FastHCS archive

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