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: | 0.3.2 |
| 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: | 2025-01-19 |
| 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 + fileLICENSE |
| 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 |
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