Quantile Recalibration for Regression Models R package recalibratiNN version 0.3.2 Enables the diagnostics and enhancement of regression model calibration.It offers both global and local visualization tools for calibration diagnostics and provides one recalibration method: Torres R, Nott DJ, Sisson SA, Rodrigues T, Reis JG, Rodrigues GS (2024) <doi:10.48550/arXiv.2403.05756>. The method leverages on Probabilistic Integral Transform (PIT) values to both evaluate and perform the calibration of statistical models. For a more detailed description of the package, please refer to the bachelor's thesis available bellow. Software Depends: R (>= 3.5.0) Imports: stats(>= 3.0.0), dplyr(>= 1.0.0), ggplot2 (>= 3.0.0), purrr(>= 1.0.0), RANN(>= 2.0.0), tidyr(>= 1.0.0), tibble(>= 3.0.0), glue (>= 1.0.0), magrittr(>= 2.0.0), Hmisc (>= 5.0.0), Rdpack Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Carolina Musso <cmusso86@gmail.com> Comprehensive R Archive Network (CRAN) Carolina Musso [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-8107-6458>), Ricardo Torres [aut, cph] (ORCID: <https://orcid.org/0009-0000-9100-7125>), João Reis [aut, cph], Guilherme Rodrigues [aut, ths, cph] (ORCID: <https://orcid.org/0000-0003-2009-4844>) MIT + file LICENSE (https://CRAN.R-project.org/package=recalibratiNN/LICENSE) 2025-01-19 application/tgz https://CRAN.R-project.org/package=recalibratiNN doi:10.32614/CRAN.package.recalibratiNN