recalibratiNN: Quantile Recalibration for Regression Models

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.

Version: 0.3.0
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)
Published: 2024-07-06
DOI: 10.32614/CRAN.package.recalibratiNN
Author: Carolina Musso ORCID iD [aut, cre, cph], Ricardo Torres ORCID iD [aut, cph], João Reis [aut, cph], Guilherme Rodrigues ORCID iD [aut, ths, cph]
Maintainer: Carolina Musso <cmusso86 at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: recalibratiNN results


Reference manual: recalibratiNN.pdf
Vignettes: ANN ajusted to bidimensional data


Package source: recalibratiNN_0.3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): recalibratiNN_0.3.0.tgz, r-oldrel (arm64): recalibratiNN_0.3.0.tgz, r-release (x86_64): recalibratiNN_0.3.0.tgz, r-oldrel (x86_64): recalibratiNN_0.3.0.tgz
Old sources: recalibratiNN archive


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