auditor

modeloriented.github.io · checked 14 Nov 2026

#6 · AI Model Explainability Software

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How it plugs in

—Public API

NoOpen source

YesFree tier

Signal on AI Model Explainability Software5.8#6 of 29

auditor is an R package for model-agnostic validation, model comparison, and error analysis.

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Facts

Website: modeloriented.github.io
Price: Free tier
Free trial: Not stated
Analysis: It supports assessing model goodness of fit and performance, comparing residual similarity, and identifying outliers and influential observations.
Installation: The site lists CRAN installation and a developer installation from GitHub.
Interactive plots: Several plot types have interactive versions, including autocorrelation, influence, prediction, REC, and residual plots.
License: The package is listed under the GPL license.
Model-agnostic methods: The residual audit vignette says most methods can be used regardless of the expected residual distribution.
Model compatibility: The site describes the package as usable to validate models of any classes.
Plots: Available plot types include autocorrelation, influence, lift, model correlation, PCA, ROC, and residual plots.
Prerequisite workflow: The demonstrated workflow creates an explainer using DALEX before constructing auditor model-residual objects.
Regression and classification: The plot overview marks supported plots for regression and classification; LIFT and ROC are marked classification-only.
Residual analysis: The residual audit vignette says the package helps answer questions about model fit, relative performance, and model similarity.
Support: The site directs users to GitHub issues to report bugs.
Validation approach: Model examination uses diagnostic scores and visual verification.

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