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roccv  

ROC for Cross Validation Results
View on CRAN: Click here


Download and install roccv package within the R console
Install from CRAN:
install.packages("roccv")

Install from Github:
library("remotes")
install_github("cran/roccv")

Install by package version:
library("remotes")
install_version("roccv", "1.2")



Attach the package and use:
library("roccv")
Maintained by
Ben Sherwood
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-29
Latest Update: 2019-05-10
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.
How to cite:
Ben Sherwood (2016). roccv: ROC for Cross Validation Results. R package version 1.2, https://cran.r-project.org/web/packages/roccv. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0 (2016-06-29 22:36), 1.1 (2017-11-09 19:43)
Other packages that cited roccv R package
View roccv citation profile
Other R packages that roccv depends, imports, suggests or enhances
Complete documentation for roccv
Functions, R codes and Examples using the roccv R package
Some associated functions: cv . fit_pred_fold . randomly_assign . roccv . rocplot . 
Some associated R codes: mainFunctions.R .  Full roccv package functions and examples
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