robustHD: Robust methods for high-dimensional data

Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression.

Version: 0.3.2
Depends: R (≥ 2.14.1), Rcpp (≥ 0.9.10), ggplot2 (≥ 0.9.2), MASS, parallel, perry (≥ 0.2.0), robustbase (≥ 0.6-0)
Imports: RcppArmadillo (≥ 0.3.0), pcaPP, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvtnorm
Published: 2013-05-02
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons at ese.eur.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: robustHD results

Downloads:

Package source: robustHD_0.3.2.tar.gz
MacOS X binary: robustHD_0.3.2.tgz
Windows binary: robustHD_0.3.2.zip
Reference manual: robustHD.pdf
News/ChangeLog:NEWS
Old sources: robustHD archive

Reverse dependencies:

Reverse depends: sparseLTSEigen