Learn R Programming

roccv (version 1.2)

ROC for Cross Validation Results

Description

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.

Copy Link

Version

Install

install.packages('roccv')

Monthly Downloads

183

Version

1.2

License

MIT + file LICENSE

Maintainer

Ben Sherwood

Last Published

May 10th, 2019

Functions in roccv (1.2)

rocplot

Create ROC plot from cross validation results
randomly_assign

Assigns n samples into k groups
cv

Cross validation results for a model
fit_pred_fold

Cross validation on fold i
roccv

roccv: A package for creating ROC plots on cross validated data