smoothROC: Kernel-Smoothed ROC and AUC with Bandwidth Selection
Computes kernel-smoothed receiver operating characteristic (ROC) curves and area under the curve (AUC), including confidence intervals, using several bandwidth selection methods. Also provides the Youden index with confidence intervals, the Youden point, and optimal diagnostic cutoff estimation. Supports Gaussian, Biweight, and Epanechnikov kernels.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5) |
| Imports: | ggplot2 (≥ 3.4.0), rlang, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-08-07 |
| DOI: | 10.32614/CRAN.package.smoothROC |
| Author: | Ruhul Ali Khan 
[aut, cre],
Musie Ghebremichael [aut] (Project PI) |
| Maintainer: | Ruhul Ali Khan <ruhulali.khan at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | smoothROC results |
Documentation:
| Reference manual: | smoothROC.html , smoothROC.pdf |
| Vignettes: |
Kernel-Smoothed ROC Curves with smoothROC (source, R code) |
Downloads:
| Package source: | smoothROC_0.1.0.tar.gz |
| Windows binaries: | r-devel: smoothROC_0.1.0.zip, r-release: smoothROC_0.1.0.zip, r-oldrel: smoothROC_0.1.0.zip |
| macOS binaries: | r-release (arm64): smoothROC_0.1.0.tgz, r-oldrel (arm64): smoothROC_0.1.0.tgz, r-release (x86_64): smoothROC_0.1.0.tgz, r-oldrel (x86_64): smoothROC_0.1.0.tgz |
Linking:
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