probably: Tools for Post-Processing Class Probability Estimates

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.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: dplyr (≥ 1.0.9), generics (≥ 0.1.3), magrittr (≥ 2.0.3), rlang (≥ 1.0.4), tidyselect (≥ 1.1.2), vctrs (≥ 0.4.1), yardstick (≥ 1.0.0)
Suggests: covr, ggplot2, knitr, modeldata, parsnip, rmarkdown, rsample, testthat (≥ 3.0.0)
Published: 2022-08-29
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph, fnd]
Maintainer: Max Kuhn <max at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: probably results


Reference manual: probably.pdf
Vignettes: Equivocal zones
Where does probably fit in?


Package source: probably_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): probably_0.1.0.tgz, r-oldrel (arm64): probably_0.1.0.tgz, r-release (x86_64): probably_0.1.0.tgz, r-oldrel (x86_64): probably_0.1.0.tgz
Old sources: probably archive

Reverse dependencies:

Reverse suggests: yardstick


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