Estimation of the prediction accuracy in a unified survival AUC approach. Model selection and prediction estimation based on a survival AUC. Stepwise model selection, based on several ranking approaches.
Version: | 0.1 |
Depends: | R (≥ 3.0.0), survival (≥ 2.37-6), foreach (≥ 1.0.11) |
Imports: | ipred (≥ 0.9-3), sampling (≥ 2.6), glmnet (≥ 1.9-8), utils (≥ 3.1.0), survAUC (≥ 1.0-5), randomForestSRC (≥ 1.5.4), ggplot2 (≥ 1.0.0), reshape (≥ 0.8), gplots (≥ 2.16.0), mboost (≥ 2.3-0), parallel (≥ 3.2.0), doParallel (≥ 1.0.8), rpart (≥ 4.1-8) |
Suggests: | knitr |
Published: | 2015-08-26 |
Author: | Michael Laimighofer [aut, cre, ctb] |
Maintainer: | Michael Laimighofer <michael.laimighofer at helmholtz-muenchen.de> |
BugReports: | NA |
License: | GPL-2 |
URL: | NA |
NeedsCompilation: | no |
CRAN checks: | SurvRank results |
Reference manual: | SurvRank.pdf |
Vignettes: |
SurvRank |
Package source: | SurvRank_0.1.tar.gz |
Windows binaries: | r-devel: SurvRank_0.1.zip, r-release: SurvRank_0.1.zip, r-oldrel: SurvRank_0.1.zip |
OS X Mavericks binaries: | r-release: SurvRank_0.1.tgz, r-oldrel: SurvRank_0.1.tgz |