Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations as well as calibration tools and conformal inference techniques for regression models.
Version: 1.1.0 Depends: R (≥ 4.1) Imports: butcher, cli, dplyr (≥ 1.1.0), furrr, generics (≥ 0.1.3), ggplot2, hardhat, pillar, purrr, rlang (≥ 1.1.0), tidyr (≥ 1.3.0), tidyselect (≥ 1.1.2), tune (≥ 1.1.2), vctrs (≥ 0.4.1), withr, workflows (≥ 1.1.4), yardstick (≥ 1.3.0) Suggests: betacal, covr, knitr, MASS, mgcv, modeldata (≥ 1.1.0), nnet, parsnip (≥ 1.2.0), quantregForest, randomForest, recipes, rmarkdown, rsample, testthat (≥ 3.0.0) Published: 2025-05-21 DOI: 10.32614/CRAN.package.probably Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd] Maintainer: Max Kuhn <max at posit.co> BugReports: https://github.com/tidymodels/probably/issues License: MIT + file LICENSE URL: https://github.com/tidymodels/probably, https://probably.tidymodels.org NeedsCompilation: no Materials: README NEWS CRAN checks: probably resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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