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cvAUC
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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
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Other R packages that cvAUC depends,
imports, suggests or enhances
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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