swh:1:snp:df9731f7198ce3b5055b1aa19d96e140bcde7483
Tip revision: 6e80c4af4079c6a0a017445fed21d2dc5be27f97 authored by Christian Thiele on 10 December 2024, 22:50:02 UTC
version 1.2.0
version 1.2.0
Tip revision: 6e80c4a
DESCRIPTION
Package: cutpointr
Type: Package
Title: Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks
Version: 1.2.0
Date: 2024-12-10
Authors@R:
person(given = "Christian",
family = "Thiele",
role = c("cre", "aut"),
email = "c.thiele@gmx-topmail.de",
comment = c(ORCID = "0000-0002-1156-5117"))
Description: 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>.
License: GPL-3
URL: https://github.com/thie1e/cutpointr
BugReports: https://github.com/thie1e/cutpointr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
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)
RoxygenNote: 7.3.1
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), vctrs (>= 0.2.4)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-10 22:15:28 UTC; thic
Author: Christian Thiele [cre, aut] (<https://orcid.org/0000-0002-1156-5117>)
Maintainer: Christian Thiele <c.thiele@gmx-topmail.de>
Repository: CRAN
Date/Publication: 2024-12-10 22:50:02 UTC