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.

AuthorBen Sherwood [aut, cre]
Date of publication2016-06-29 22:36:56
MaintainerBen Sherwood <bsherwo2@jhu.edu>
LicenseMIT + file LICENSE
Version1.0

View on CRAN

Files

roccv
roccv/NAMESPACE
roccv/NEWS
roccv/R
roccv/R/roccv.r
roccv/R/mainFunctions.R
roccv/MD5
roccv/DESCRIPTION
roccv/man
roccv/man/cv.Rd roccv/man/rocplot.Rd roccv/man/randomly_assign.Rd roccv/man/fit_pred_fold.Rd roccv/man/roccv.Rd
roccv/LICENSE

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