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smoothROC  

Kernel-Smoothed ROC and AUC with Bandwidth Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("smoothROC", "0.1.0")



Attach the package and use:
library("smoothROC")
Maintained by
Ruhul Ali Khan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-07
Latest Update: 2026-08-07
Description:
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.
How to cite:
Ruhul Ali Khan (2026). smoothROC: Kernel-Smoothed ROC and AUC with Bandwidth Selection. R package version 0.1.0, https://cran.r-project.org/web/packages/smoothROC. Accessed 04 Oct. 2026.
Previous versions and publish date:
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Complete documentation for smoothROC
Functions, R codes and Examples using the smoothROC R package
Full smoothROC package functions and examples
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