Package: calibratr 0.1.0

calibratr: Calibration of Binary and Multiclass Probabilities

Provides S3 calibrators, metrics, and diagnostics for binary and multiclass probability calibration in R. Binary methods include Platt scaling, temperature scaling, beta calibration, histogram binning, and isotonic regression. Multiclass methods include temperature scaling, vector scaling, Dirichlet calibration, and a one-vs-rest wrapper for the binary calibrators. Methods follow Platt (1999), Zadrozny and Elkan (2002) <doi:10.1145/775047.775151>, Guo et al. (2017), Kull et al. (2017) <doi:10.1214/17-EJS1338SI>, and Kull et al. (2019).

Authors:Pedro Rafael Diniz Marinho [aut, cre]

calibratr_0.1.0.tar.gz
calibratr_0.1.0.zip(r-4.7)calibratr_0.1.0.zip(r-4.6)calibratr_0.1.0.zip(r-4.5)
calibratr_0.1.0.tgz(r-4.6-any)calibratr_0.1.0.tgz(r-4.5-any)
calibratr_0.1.0.tar.gz(r-4.7-any)calibratr_0.1.0.tar.gz(r-4.6-any)
calibratr_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
calibratr/json (API)
NEWS

# Install 'calibratr' in R:

install.packages('calibratr', repos = c('https://prdm0.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/prdm0/calibratr/issues

Pkgdown/docs site:https://prdm0.github.io

On CRAN:

library machine-learning statistics

3.94 score 35 scripts 16 exports 17 dependencies

Last updated from:cf47af80ff. Checks:9 OK. Indexed: yes.
A new build is currently in progress.

Target	Result	Time
linux-devel-x86_64	OK	986
source / vignettes	OK	218
linux-release-x86_64	OK	141
macos-release-arm64	OK	84
macos-oldrel-arm64	OK	126
windows-devel	OK	108
windows-release	OK	92
windows-oldrel	OK	91
wasm-release	OK	115

Exports:ace cal_beta cal_cv cal_dirichlet cal_histogram cal_isotonic cal_ovr cal_platt cal_temperature cal_vector_scaling ece inv_logit logit mce mmce reliability_diagram

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle R6 RColorBrewer rlang S7 scales vctrs viridisLite withr