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.

Getting started

Package details

AuthorBen Sherwood [aut, cre]
MaintainerBen Sherwood <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the roccv package in your browser

Any scripts or data that you put into this service are public.

roccv documentation built on May 10, 2019, 5:03 p.m.