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