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: 0.5.0
Depends: R (≥ 3.0.2), ggplot2 (≥ 0.9.2), perry (≥ 0.2.0), robustbase (≥ 0.9-5)
Imports: MASS, parallel, stats
LinkingTo: Rcpp (≥ 0.9.10), RcppArmadillo (≥ 0.3.0)
Suggests: mvtnorm
Published: 2014-04-30
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons at ese.eur.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: NA
Materials: NA
CRAN checks: robustHD results

Downloads:

Reference manual: robustHD.pdf
Package source: robustHD_0.5.0.tar.gz
Windows binaries: r-devel: robustHD_0.5.0.zip, r-release: robustHD_0.5.0.zip, r-oldrel: robustHD_0.5.0.zip
OS X Snow Leopard binaries: r-release: robustHD_0.5.0.tgz, r-oldrel: robustHD_0.5.0.tgz
OS X Mavericks binaries: r-release: robustHD_0.5.0.tgz
Old sources: robustHD archive

Reverse dependencies:

Reverse depends: sparseLTSEigen