Package: roccv
Type: Package
Title: ROC for Cross Validation Results
Version: 1.2
Date: 2019-05-10
Author: Ben Sherwood [aut, cre]
Depends: R (>= 3.0.0), glmnet, parallel, pROC
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>
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.  
ByteCompile: TRUE
License: MIT + file LICENSE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2019-05-10 15:51:48 UTC; bsherwoo
Repository: CRAN
Date/Publication: 2019-05-10 16:20:03 UTC
Built: R 4.6.0; ; 2026-04-26 10:04:24 UTC; unix
