cutpointr: Determine and Evaluate Optimal Cutpoints in Binary 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 (2021) <doi:10.18637/jss.v098.i11>.

Version: 1.1.2
Depends: R (≥ 3.5.0)
Imports: gridExtra (≥ 2.2.1), foreach (≥ 1.4.3), dplyr (≥ 0.8.0), tidyselect (≥ 1.1.0), tidyr (≥ 1.0.0), purrr (≥ 0.3.0), tibble (≥ 3.0.0), ggplot2 (≥ 3.0.0), Rcpp (≥ 0.12.12), stats, utils, rlang (≥ 0.4.0)
LinkingTo: Rcpp
Suggests: KernSmooth (≥ 2.23-15), fANCOVA (≥ 0.5-1), testthat (≥ 1.0.2), doRNG (≥ 1.6), doParallel (≥ 1.0.11), knitr, rmarkdown, mgcv (≥ 1.8), crayon (≥ 1.3.4), registry (≥ 0.5-1), pkgmaker (≥ 0.31.1), vctrs (≥ 0.2.4)
Published: 2022-04-13
DOI: 10.32614/CRAN.package.cutpointr
Author: Christian Thiele ORCID iD [cre, aut]
Maintainer: Christian Thiele <c.thiele at>
License: GPL-3
NeedsCompilation: yes
Citation: cutpointr citation info
Materials: NEWS
CRAN checks: cutpointr results


Reference manual: cutpointr.pdf
Vignettes: An introduction to cutpointr
cutpointr benchmarks
Bootstrapping with cutpointr
Robust cutpoint estimation
Plotting with cutpointr
ROC curves with cutpointr
User-defined functions for estimation methods and metrics


Package source: cutpointr_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cutpointr_1.1.2.tgz, r-oldrel (arm64): cutpointr_1.1.2.tgz, r-release (x86_64): cutpointr_1.1.2.tgz, r-oldrel (x86_64): cutpointr_1.1.2.tgz
Old sources: cutpointr archive

Reverse dependencies:

Reverse imports: predictNMB


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