roccv (1.2)

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ROC for Cross Validation Results.

http://cran.r-project.org/web/packages/roccv

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.

Maintainer: Ben Sherwood
Author(s): Ben Sherwood [aut, cre]

License: MIT + file LICENSE

Uses: glmnet, pROC

Released 7 months ago.


2 previous versions

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