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