Package: probcal Title: Calibration of Binary and Multiclass Probabilities Version: 0.2.0 Authors@R: person("Pedro Rafael", "Diniz Marinho", email = "pedro.rafael.marinho@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1591-8300")) Description: Provides S3 calibrators, metrics, and diagnostics for binary and multiclass probability calibration. 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. A calibration-inference layer adds debiased calibration errors, bootstrap confidence intervals, and a kernel calibration hypothesis test for binary and multiclass predictions, including the strong (canonical) multiclass case. Methods follow Platt (1999, ISBN:9780262194488), Zadrozny and Elkan (2002) , Guo et al. (2017) , Kull et al. (2017) , Kull et al. (2019) , Widmann et al. (2019) , and Kumar et al. (2019) . License: MIT + file LICENSE Depends: R (>= 4.1.0) Encoding: UTF-8 Language: en-US Roxygen: list(markdown = TRUE) Imports: cli, ggplot2, stats, withr Suggests: betacal, dplyr, knitr, pkgdown, reticulate, rmarkdown, roxygen2, testthat (>= 3.0.0) Config/testthat/edition: 3 VignetteBuilder: knitr URL: https://prdm0.github.io/probcal/, https://github.com/prdm0/probcal/ BugReports: https://github.com/prdm0/probcal/issues/ Config/roxygen2/version: 8.0.0 Repository: https://prdm0.r-universe.dev Date/Publication: 2026-07-07 01:44:07 UTC RemoteUrl: https://github.com/prdm0/probcal RemoteRef: HEAD RemoteSha: 72cd9d5e453b4a8e21b88527819183e60b07c84d NeedsCompilation: no Packaged: 2026-07-07 01:54:49 UTC; root Author: Pedro Rafael Diniz Marinho [aut, cre, cph] (ORCID: ) Maintainer: Pedro Rafael Diniz Marinho