r-cran-cutpointr - 1.1.2-1 main

Classification Tasks Estimate cutpoints that optimize a specified
metric in binary classification tasks and validate performance
using bootstrapping. Some methods for more robust cutpoint
estimation are supported, e.g. a parametric method assuming normal
distributions, bootstrapped cutpoints, and smoothing of the metric
values per cutpoint using Generalized Additive Models. Various
plotting functions are included. For an overview of the package
see Thiele and Hirschfeld (2020) .