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 (2020)' <arXiv:2002.09209>.

Version: 1.0.32
Depends: R (≥ 3.5.0)
Imports: gridExtra (≥ 2.2.1), foreach (≥ 1.4.3), dplyr (≥ 0.8.0), 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: 2020-06-19
Author: Christian Thiele ORCID iD [cre, aut]
Maintainer: Christian Thiele <c.thiele at gmx-topmail.de>
BugReports: https://github.com/thie1e/cutpointr/issues
License: GPL-3
URL: https://github.com/thie1e/cutpointr
NeedsCompilation: yes
Materials: NEWS
CRAN checks: cutpointr results

Downloads:

Reference manual: cutpointr.pdf
Vignettes: cutpointr
Package source: cutpointr_1.0.32.tar.gz
Windows binaries: r-devel: cutpointr_1.0.32.zip, r-release: cutpointr_1.0.32.zip, r-oldrel: cutpointr_1.0.32.zip
macOS binaries: r-release: cutpointr_1.0.32.tgz, r-oldrel: cutpointr_1.0.32.tgz
Old sources: cutpointr archive

Reverse dependencies:

Reverse imports: TestDimorph

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cutpointr to link to this page.