https://github.com/cadam00/lightauc

Fast AUC Computation
https://github.com/cadam00/lightauc

auc efficiency fast r r-package rcpp rcppparallel speed

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Fast AUC Computation

• Host: GitHub
• URL: https://github.com/cadam00/lightauc
• Owner: cadam00
• License: gpl-3.0
• Created: 2025-02-01T07:24:02.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-02-11T09:15:21.000Z (3 months ago)
• Last Synced: 2025-03-22T08:44:20.553Z (2 months ago)
• Topics: auc, efficiency, fast, r, r-package, rcpp, rcppparallel, speed
• Language: C++
• Homepage: https://cadam00.github.io/lightAUC/
• Size: 3.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE

Awesome Lists containing this project

README

        

[![CRAN status](https://www.r-pkg.org/badges/version/lightAUC)](https://CRAN.R-project.org/package=lightAUC)

[![Developmental version](https://img.shields.io/badge/devel%20version-0.1.2-blue.svg)](https://github.com/cadam00/lightAUC)

[![R-CMD-check](https://github.com/cadam00/lightAUC/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/cadam00/lightAUC/actions/workflows/R-CMD-check.yaml)

[![Codecov test coverage](https://codecov.io/gh/cadam00/lightAUC/graph/badge.svg)](https://app.codecov.io/gh/cadam00/lightAUC)

# **Fast AUC computation in R**

Fast and lightweight computation of AUC metric for the binary case (1 positive

and 0 negative) is offered by lightAUC package. The algorithm used is a

fast implementation from  algorithm of Fawcett ([2006](#ref-fawcett2006)).

## **Install**

The official [(CRAN)](https://cran.r-project.org/) version of the package can be

installed using

``` r

install.packages("lightAUC")

```

Alternatively, the development version of the package can be installed via

``` r

if (!require(remotes)) install.packages("remotes")

remotes::install_github("cadam00/lightAUC")

```

## **Citation**

To cite the official [(CRAN)](https://cran.r-project.org/) version of the

package, please use



Adam, C. (2025). lightAUC: Fast AUC Computation. R package version 0.1.2.

doi:10.32614/CRAN.package.lightAUC



## **Example**

```r

# Create some data

probs   <- c(1, 0.4, 0.8)

actuals <- c(0, 0, 1)

lightAUC(probs, actuals)

```

```

## 0.5

```

For parallel calculations use:

```r

# E.g. 2 cores (you can use cores = parallel::detectCores() for your case)

probs   <- c(1, 0.4, 0.8)

actuals <- c(0, 0, 1)

lightAUC(probs, actuals, parallel = TRUE, cores = 2)

```

```

## 0.5

```

## **References**



Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition

Letters, 27(8), 861–874. doi:10.1016/j.patrec.2005.10.010