FastHCS: Robust Algorithm for Principal Component Analysis

The FastHCS algorithm of Schmitt and Vakili (2015) for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.

Version: 0.0.7
Depends: R (≥ 3.1.1), matrixStats
Imports: methods
LinkingTo: Rcpp, RcppEigen
Published: 2020-05-10
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili < at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: FastHCS results


Reference manual: FastHCS.pdf
Package source: FastHCS_0.0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: FastHCS_0.0.7.tgz, r-oldrel: FastHCS_0.0.7.tgz
Old sources: FastHCS archive


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