roccv: ROC for Cross Validation Results

Cross validate large genetic data while specifying clinical variables that should always be in the model using the function cv(). An ROC plot from the cross validation data with AUC can be obtained using rocplot(), which also can be used to compare different models.

Version: 1.0
Depends: R (≥ 3.0.0), glmnet, parallel, pROC
Published: 2016-06-29
Author: Ben Sherwood [aut, cre]
Maintainer: Ben Sherwood <bsherwo2 at>
BugReports: NA
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: roccv results


Reference manual: roccv.pdf
Package source: roccv_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: roccv_1.0.tgz, r-oldrel: roccv_1.0.tgz