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 <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_0.0.7.tar.gz |
| Windows binaries: | r-devel: FastHCS_0.0.7.zip, r-release: FastHCS_0.0.7.zip, r-oldrel: FastHCS_0.0.7.zip |
| macOS binaries: | r-release: FastHCS_0.0.7.tgz, r-oldrel: FastHCS_0.0.7.tgz |
| Old sources: | FastHCS archive |
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