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cvAUC  

Cross-Validated Area Under the ROC Curve Confidence Intervals
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cvAUC", "1.1.4")



Attach the package and use:
library("cvAUC")
Maintained by
Erin LeDell
[Scholar Profile | Author Map]
First Published: 2013-01-15
Latest Update: 2022-01-17
Description:
Tools for working with and evaluating cross-validated area under the ROC curve (AUC) estimators. The primary functions of the package are ci.cvAUC and ci.pooled.cvAUC, which report cross-validated AUC and compute confidence intervals for cross-validated AUC estimates based on influence curves for i.i.d. and pooled repeated measures data, respectively. One benefit to using influence curve based confidence intervals is that they require much less computation time than bootstrapping methods. The utility functions, AUC and cvAUC, are simple wrappers for functions from the ROCR package.
How to cite:
Erin LeDell (2013). cvAUC: Cross-Validated Area Under the ROC Curve Confidence Intervals. R package version 1.1.4, https://cran.r-project.org/web/packages/cvAUC. Accessed 01 Apr. 2025.
Previous versions and publish date:
1.0-0 (2013-01-15 07:39), 1.0.1 (2014-11-04 20:08), 1.0.2 (2014-11-17 09:26), 1.1.0 (2014-12-09 07:12)
Other packages that cited cvAUC R package
View cvAUC citation profile
Other R packages that cvAUC depends, imports, suggests or enhances
Complete documentation for cvAUC
Functions, R codes and Examples using the cvAUC R package
Some associated functions: AUC . adherence . admissions . ci.cvAUC . ci.pooled.cvAUC . cvAUC-package . cvAUC . 
Some associated R codes: AUC.R . ci.cvAUC.R . ci.pooled.cvAUC.R . cvAUC.R . internals.R . zzz.R .  Full cvAUC package functions and examples
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