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.


Reference manual

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install.packages("smoothROC")

0.1.0 by Ruhul Ali Khan, 2 months ago


Browse source code at https://github.com/cran/smoothROC


Authors: Ruhul Ali Khan [aut, cre] (ORCID: , Musie Ghebremichael [aut] (Project PI)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ggplot2, rlang, stats

Suggests knitr, rmarkdown


See at CRAN