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.

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Description file content

Package
cutpointr
Type
Package
Title
Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks
Version
0.7.3
Date
2018-04-10
Description
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.
License
GPL-3
Encoding
UTF-8
LazyData
true
Depends
R (>= 3.3.0)
LinkingTo
Rcpp
Imports
gridExtra (>= 2.2.1), foreach (>= 1.4.3), dplyr (>= 0.5.0), tidyr (>= 0.6.0), purrr (>= 0.2.2), tibble (>= 1.4.2), ggplot2 (>= 2.2.0), Rcpp (>= 0.12.12), stats, utils, rlang (>= 0.1.2)
RoxygenNote
6.0.1
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)
VignetteBuilder
knitr
NeedsCompilation
yes
Packaged
2018-04-13 12:48:53 UTC; ct
Author
Christian Thiele [aut, cre]
Maintainer
Christian Thiele
Repository
CRAN
Date/Publication
2018-04-13 13:16:17 UTC

install.packages('cutpointr')

0.7.3

6 days ago

Christian Thiele

GPL-3

Depends on

R (>= 3.3.0)

Imports

gridExtra (>= 2.2.1), foreach (>= 1.4.3), dplyr (>= 0.5.0), tidyr (>= 0.6.0), purrr (>= 0.2.2), tibble (>= 1.4.2), ggplot2 (>= 2.2.0), Rcpp (>= 0.12.12), stats, utils, rlang (>= 0.1.2)

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)

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