Extension for 'DALEX' Package R package DALEXtra version 2.3.1 Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <doi:10.48550/arXiv.1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot. Software Depends: R (>= 3.5.0), DALEX (>= 2.4.0) Imports: ggplot2 Suggests: auditor, gbm, ggrepel, h2o, iml, ingredients, lime, localModel, mlr, mlr3, ranger, recipes, reticulate, rmarkdown, rpart, stacks, xgboost, testthat, tidymodels Szymon Maksymiuk <sz.maksymiuk@gmail.com> Comprehensive R Archive Network (CRAN) Szymon Maksymiuk [aut, cre] (ORCID: <https://orcid.org/0000-0002-3120-1601>), Przemyslaw Biecek [aut] (ORCID: <https://orcid.org/0000-0001-8423-1823>), Hubert Baniecki [aut], Anna Kozak [ctb] GPL 2026-01-14 application/tgz https://CRAN.R-project.org/package=DALEXtra doi:10.32614/CRAN.package.DALEXtra