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: 0.4.0
Depends: R (≥ 2.14.1), ggplot2 (≥ 0.9.2), perry (≥ 0.2.0)
Imports: Rcpp (≥ 0.9.10), RcppArmadillo (≥ 0.3.0), MASS, parallel, pcaPP, robustbase (≥ 0.6-0), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvtnorm
Published: 2013-12-10
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons at ese.eur.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
CRAN checks: robustHD results

Downloads:

Reference manual: robustHD.pdf
Package source: robustHD_0.4.0.tar.gz
OS X binary: robustHD_0.4.0.tgz
Windows binary: robustHD_0.4.0.zip
Old sources: robustHD archive

Reverse dependencies:

Reverse depends: sparseLTSEigen