rsig: Robust Signature Selection for Survival Outcomes

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.

Version: 1.0
Depends: R (≥ 2.15.0), survival, parallel
Imports: BBmisc, glmnet, superpc, survcomp, Matrix
Suggests: testthat
Published: 2013-10-12
Author: Sangkyun Lee, Michel Lang
Maintainer: Sangkyun Lee <sangkyun.lee at tu-dortmund.de>
License: GPL-2
NeedsCompilation: no
In views: Robust, Survival
CRAN checks: rsig results

Downloads:

Reference manual: rsig.pdf
Package source: rsig_1.0.tar.gz
OS X binary: rsig_1.0.tgz
Windows binary: rsig_1.0.zip