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 and various plotting functions are included.

Version: 1.0.0
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 (≥ 2.1.1), ggplot2 (≥ 2.2.0), 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)
Published: 2019-09-17
Author: Christian Thiele [aut, cre]
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_1.0.0.tar.gz
Windows binaries: r-devel: cutpointr_1.0.0.zip, r-release: cutpointr_1.0.0.zip, r-oldrel: cutpointr_1.0.0.zip
OS X binaries: r-release: cutpointr_1.0.0.tgz, r-oldrel: cutpointr_1.0.0.tgz
Old sources: cutpointr archive

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