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.


Reference manual

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install.packages("roccv")

1.2 by Ben Sherwood, 7 years ago


Browse source code at https://github.com/cran/roccv


Authors: Ben Sherwood [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Depends on glmnet, parallel, pROC


See at CRAN