Package: recalibratiNN 0.3.0

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.

Authors:Carolina Musso [aut, cre, cph], Ricardo Torres [aut, cph], João Reis [aut, cph], Guilherme Rodrigues [aut, ths, cph]

recalibratiNN_0.3.0.tar.gz
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recalibratiNN.pdf |recalibratiNN.html
recalibratiNN/json (API)
NEWS

# Install 'recalibratiNN' in R:
install.packages('recalibratiNN', repos = c('https://cmusso86.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cmusso86/recalibratinn/issues

On CRAN:

calibrationgaussian-modelsneural-networkprobabilityrecalibrationregression-models

5.56 score 6 stars 7 scripts 133 downloads 7 exports 74 dependencies

Last updated 5 months agofrom:9e48ed2ead. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:gg_CD_globalgg_CD_localgg_PIT_globalgg_PIT_localPIT_globalPIT_localrecalibrate

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigpurrrR6RANNrappdirsrbibutilsRColorBrewerRdpackrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml

Recalibrating the predicitions of an ANN.

Rendered fromsimple_mlp.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2024-07-06
Started: 2024-06-19