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 [aut, cre, cph], Ricardo Torres [aut, cph], João Reis [aut, cph], Guilherme Rodrigues [aut, ths, cph]
Maintainer:	Carolina Musso <cmusso86 at gmail.com>
BugReports:	https://github.com/cmusso86/recalibratiNN/issues
License:	MIT + file LICENSE
URL:	https://bdm.unb.br/handle/10483/38504, https://github.com/cmusso86/recalibratiNN, https://cmusso86.github.io/recalibratiNN/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	recalibratiNN results

Documentation:

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

Downloads:

Package source:	recalibratiNN_0.3.0.tar.gz
Windows binaries:	r-devel: recalibratiNN_0.3.0.zip, r-release: recalibratiNN_0.3.0.zip, r-oldrel: recalibratiNN_0.3.0.zip
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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