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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.
Getting started
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Package details |
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| Author | Carolina Musso [aut, cre, cph] (<https://orcid.org/0000-0002-8107-6458>), Ricardo Torres [aut, cph] (<https://orcid.org/0009-0000-9100-7125>), João Reis [aut, cph], Guilherme Rodrigues [aut, ths, cph] (<https://orcid.org/0000-0003-2009-4844>) |
| Maintainer | Carolina Musso <cmusso86@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.3.2 |
| URL | https://bdm.unb.br/handle/10483/38504 https://github.com/cmusso86/recalibratiNN https://cmusso86.github.io/recalibratiNN/ |
| Package repository | View on CRAN |
| Installation |
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