Model Audit - Verification, Validation, and Error Analysis

Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.


News

auditor 0.3.1

  • Repository with the auditor package was moved to new GitHub organization (MI^2 DataLab).

auditor 0.3.0

  • New five vignettes with examples.
  • Second pipeline with new computational functions: modelResiduals(), modelEvaluation(), modelFit(), modelPerformance(), observationInfluence().
  • New plot: plotResidualBoxplot()

auditor 0.2.1


  • In the source code, function isFALSE() is replaced by == FALSE to make package compatible with R versions older than 3.5.

Reference manual

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install.packages("auditor")

0.3.1 by Alicja Gosiewska, 6 months ago


https://mi2datalab.github.io/auditor/


Report a bug at https://github.com/MI2DataLab/auditor/issues


Browse source code at https://github.com/cran/auditor


Authors: Alicja Gosiewska [aut, cre] , Przemyslaw Biecek [aut, ths]


Documentation:   PDF Manual  


GPL license


Imports car, factoextra, fdrtool, GGally, ggplot2, ggrepel, gridExtra, hnp, plotROC, ROCR, tseries

Suggests aods3, breakDown, carData, DALEX, e1071, gamlss, knitr, lme4, MASS, mlbench, randomForest, rmarkdown, testthat, covr


See at CRAN