roccv: ROC for Cross Validation Results
Version 1.0

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.

Getting started

Package details

AuthorBen Sherwood [aut, cre]
Date of publication2016-06-29 22:36:56
MaintainerBen Sherwood <[email protected]>
LicenseMIT + file LICENSE
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("roccv")

Try the roccv package in your browser

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

roccv documentation built on May 29, 2017, 10:12 p.m.