Package: rsig
Type: Package
Title: Robust Signature Selection for Survival Outcomes
Version: 1.0
Author: Sangkyun Lee <sangkyun.lee@tu-dortmund.de>, Michel Lang
    <michellang@gmail.com>
Maintainer: Sangkyun Lee <sangkyun.lee@tu-dortmund.de>
Description: Robust and efficient feature selection algorithm to
    identify important features for predicting survival risk.
    The method is based on subsampling and averaging linear models
    obtained from the (preconditioned) Lasso algorithm, with an extra 
    shrinking procedure to reduce the size of signatures. An 
    evaluation procedure using subsampling is also provided.
License: GPL-2
Depends: R (>= 2.15.0), survival, parallel
Imports: BBmisc, glmnet, superpc, survcomp, Matrix
Suggests: testthat
LazyData: yes
ByteCompile: yes
Collate: 'zzz.R' 'helper.R' 'sampling.R' 'models.R' 'rsig.R'
        'evaluate.R' 'rsig.all.R'
Packaged: 2013-10-12 18:47:31 UTC; lee
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-10-12 23:54:18
Built: R 3.1.0; ; 2014-04-18 15:43:11 UTC; unix
