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: |
1.2.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
butcher, cli, dplyr (≥ 1.1.0), furrr, generics (≥ 0.1.3), ggplot2 (≥ 3.5.2), 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: |
2025-10-16 |
| 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 results |