https://github.com/cran/cutpointr
Revision d461e559d4a76b7fcbd728470ca12cce56d3ffab authored by Christian Thiele on 19 June 2020, 11:00:06 UTC, committed by cran-robot on 19 June 2020, 11:00:06 UTC
1 parent bbfd829
Tip revision: d461e559d4a76b7fcbd728470ca12cce56d3ffab authored by Christian Thiele on 19 June 2020, 11:00:06 UTC
version 1.0.32
version 1.0.32
Tip revision: d461e55
DESCRIPTION
Package: cutpointr
Type: Package
Title: Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks
Version: 1.0.32
Date: 2020-06-19
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 (2020)' <arXiv:2002.09209>.
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),
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: 7.1.0
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)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-19 09:52:44 UTC; Khl4v
Author: Christian Thiele [cre, aut] (<https://orcid.org/0000-0002-1156-5117>)
Maintainer: Christian Thiele <c.thiele@gmx-topmail.de>
Repository: CRAN
Date/Publication: 2020-06-19 12:00:06 UTC
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