Package: robustHD
Type: Package
Title: Robust methods for high-dimensional data
Version: 0.2.2
Date: 2012-10-30
Depends: R (>= 2.14.1), Rcpp (>= 0.9.10), ggplot2 (>= 0.9.2), MASS,
        parallel, perry, robustbase (>= 0.6-0)
Imports: RcppArmadillo (>= 0.3.0), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvtnorm
Description: Robust methods for high-dimensional data, in particular
        linear model selection techniques based on least angle
        regression and sparse regression.
License: GPL (>= 2)
LazyLoad: yes
Authors@R: person("Andreas", "Alfons", email =
        "andreas.alfons@kuleuven.be", role = c("aut", "cre"))
Collate: 'accessors.R' 'AIC.R' 'backend.R' 'coef.R' 'corHuber.R'
        'fastLasso.R' 'fitted.R' 'fortify.R' 'initialSubsets.R'
        'lambda0.R' 'perry.R' 'plot.R' 'predict.R' 'print.R'
        'residuals.R' 'rlars.R' 'seqModel.R' 'sparseLTS.R'
        'standardize.R' 'subset.R' 'test.R' 'utils.R' 'weights.R'
        'winsorize.R' 'zzz.R'
Packaged: 2012-10-30 08:34:30 UTC; andi
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <andreas.alfons@kuleuven.be>
Repository: CRAN
Date/Publication: 2012-10-30 09:34:50
