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.

Install the latest version of this package by entering the following in R:
AuthorBen Sherwood [aut, cre]
Date of publication2016-06-29 22:36:56
MaintainerBen Sherwood <>
LicenseMIT + file LICENSE

View on CRAN

Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.