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
DOI: 10.32614/CRAN.package.roccv
Author: Ben Sherwood [aut, cre]
Maintainer: Ben Sherwood <ben.sherwood at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: roccv results


Reference manual: roccv.pdf


Package source: roccv_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): roccv_1.2.tgz, r-oldrel (arm64): roccv_1.2.tgz, r-release (x86_64): roccv_1.2.tgz, r-oldrel (x86_64): roccv_1.2.tgz
Old sources: roccv archive


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