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. Framework was built to handle genetic data, but works for any data.

Version: 1.2
Depends: R (≥ 3.0.0), glmnet, parallel, pROC
Published: 2019-05-10
Author: Ben Sherwood [aut, cre]
Maintainer: Ben Sherwood <ben.sherwood at ku.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: roccv results

Downloads:

Reference manual: roccv.pdf
Package source: roccv_1.2.tar.gz
Windows binaries: r-devel: roccv_1.2.zip, r-devel-gcc8: roccv_1.2.zip, r-release: roccv_1.2.zip, r-oldrel: roccv_1.2.zip
OS X binaries: r-release: roccv_1.2.tgz, r-oldrel: roccv_1.2.tgz
Old sources: roccv archive

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