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Showing content from http://cran.rstudio.com/web/packages/SpatialTools/../Rcpp/../lightAUC/readme/README.html below:

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).

The official (CRAN) version of the package can be installed using

install.packages("lightAUC")

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

if (!require(remotes)) install.packages("remotes")
remotes::install_github("cadam00/lightAUC")

To cite the official (CRAN) version of the package, please use

Adam, C. (2025). lightAUC: Fast AUC Computation. R package version 0.1.3. doi:10.32614/CRAN.package.lightAUC

# Create some data
probs   <- c(1, 0.4, 0.8)
actuals <- c(0, 0, 1)
lightAUC(probs, actuals)

## 0.5

For parallel calculations use:

# 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

Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters , 27(8), 861–874. doi:10.1016/j.patrec.2005.10.010

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