tailor: Iterative Steps for Postprocessing Model Predictions

Postprocessors refine predictions outputted from machine learning models to improve predictive performance or better satisfy distributional limitations. This package introduces 'tailor' objects, which compose iterative adjustments to model predictions. A number of pre-written adjustments are provided with the package, such as calibration. See Lichtenstein, Fischhoff, and Phillips (1977) <doi:10.1007/978-94-010-1276-8_19>. Other methods and utilities to compose new adjustments are also included. Tailors are tightly integrated with the 'tidymodels' framework.

Version:	0.1.0
Depends:	R (≥ 4.1)
Imports:	cli, dplyr, generics, hardhat, purrr, rlang (≥ 1.1.0), tibble, tidyselect, vctrs
Suggests:	betacal, dials (≥ 1.4.1), mgcv, modeldata, probably (≥ 1.1.0), testthat (≥ 3.0.0)
Published:	2025-08-25
DOI:	10.32614/CRAN.package.tailor
Author:	Simon Couch [aut], Hannah Frick [aut], Emil HvitFeldt [aut], Max Kuhn [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer:	Max Kuhn <max at posit.co>
BugReports:	https://github.com/tidymodels/tailor/issues
License:	MIT + file LICENSE
URL:	https://github.com/tidymodels/tailor, https://tailor.tidymodels.org
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	tailor results

Documentation:

Reference manual:

tailor.html , tailor.pdf

Downloads:

Package source:	tailor_0.1.0.tar.gz
Windows binaries:	r-devel: tailor_0.1.0.zip, r-release: tailor_0.1.0.zip, r-oldrel: tailor_0.1.0.zip
macOS binaries:	r-release (arm64): tailor_0.1.0.tgz, r-oldrel (arm64): tailor_0.1.0.tgz, r-release (x86_64): tailor_0.1.0.tgz, r-oldrel (x86_64): tailor_0.1.0.tgz

Reverse dependencies:

Reverse imports:	tidymodels, tune
Reverse suggests:	orbital, workflows

Linking:

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