rospca v1.0.4
0
Monthly downloads
Robust Sparse PCA using the ROSPCA Algorithm
Implementation of robust sparse PCA using the ROSPCA algorithm
of Hubert et al. (2016) <DOI:10.1080/00401706.2015.1093962>.
Functions in rospca
| Name | Description | |
| dataGen | Generate sparse data with outliers | |
| diagPlot | Diagnostic plot for PCA | |
| selectLambda | Selection of sparsity parameter using IC | |
| selectPlot | Selection plot | |
| zeroMeasure | Zero measure | |
| Glass | Glass data | |
| angle | Standardised last principal angle | |
| robpca | ROBust PCA algorithm | |
| rospca | RObust Sparse PCA algorithm | |
| No Results! | ||
Last month downloads
Details
| Date | 2018-02-26 |
| License | GPL (>= 2) |
| URL | https://github.com/TReynkens/rospca |
| BugReports | https://github.com/TReynkens/rospca/issues |
| ByteCompile | yes |
| NeedsCompilation | no |
| Packaged | 2018-02-26 08:10:18 UTC; u0092915 |
| Repository | CRAN |
| Date/Publication | 2018-02-26 08:21:16 UTC |
| imports | elasticnet , graphics , mrfDepth (>= 1.0.5) , mvtnorm , parallel , pcaPP , pracma , robustbase (>= 0.92-6) , rrcov , rrcovHD (>= 0.2-3) , stats |
| depends | R (>= 2.14.0) |
| Contributors | Mia Hubert, Valentin Todorov, Eric Schmitt, Tim Verdonck |
Include our badge in your README
[](http://www.rdocumentation.org/packages/rospca)