Iterative Steps for Postprocessing Model Predictions R package tailor version 0.1.0 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. Software 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) Max Kuhn <max@posit.co> Comprehensive R Archive Network (CRAN) Simon Couch [aut], Hannah Frick [aut], Emil HvitFeldt [aut], Max Kuhn [aut, cre] (ORCID: <https://orcid.org/0000-0003-2402-136X>), Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>) MIT + file LICENSE (https://CRAN.R-project.org/package=tailor/LICENSE) 2025-08-25 application/tgz https://CRAN.R-project.org/package=tailor doi:10.32614/CRAN.package.tailor