The FastHCS algorithm of Schmitt and Vakili (2014) for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.
Version: | 0.0.3 |
Depends: | R (≥ 3.1.1), matrixStats |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | mvtnorm |
Published: | 2014-11-14 |
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 |
Reference manual: | FastHCS.pdf |
Package source: | FastHCS_0.0.3.tar.gz |
Windows binaries: | r-devel: FastHCS_0.0.3.zip, r-release: FastHCS_0.0.3.zip, r-oldrel: FastHCS_0.0.2.zip |
OS X Snow Leopard binaries: | r-release: FastHCS_0.0.1.tgz, r-oldrel: FastHCS_0.0.2.tgz |
OS X Mavericks binaries: | r-release: FastHCS_0.0.3.tgz |
Old sources: | FastHCS archive |