Package: DALEXtra Title: Extension for 'DALEX' Package Version: 2.3.1 Authors@R: c(person(given = "Szymon", family = "Maksymiuk", role = c("aut", "cre"), email = "sz.maksymiuk@gmail.com", comment = c(ORCID = "0000-0002-3120-1601")), person(given = "Przemyslaw", family = "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-8423-1823")), person("Hubert", "Baniecki", role = "aut"), person("Anna", "Kozak", role = "ctb")) Description: 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) 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. Depends: R (>= 3.5.0), DALEX (>= 2.4.0) License: GPL Encoding: UTF-8 RoxygenNote: 7.3.3 Imports: ggplot2 Suggests: auditor, gbm, ggrepel, h2o, iml, ingredients, lime, localModel, mlr, mlr3, ranger, recipes, reticulate, rmarkdown, rpart, stacks, xgboost, testthat, tidymodels URL: https://ModelOriented.github.io/DALEXtra/, https://github.com/ModelOriented/DALEXtra BugReports: https://github.com/ModelOriented/DALEXtra/issues Repository: https://modeloriented.r-universe.dev Date/Publication: 2026-01-14 01:10:18 UTC RemoteUrl: https://github.com/modeloriented/dalextra RemoteRef: HEAD RemoteSha: c8274a3e048c6e1cba23bf9d20cffb57e7216c4f NeedsCompilation: no Packaged: 2026-07-15 13:33:06 UTC; root Author: Szymon Maksymiuk [aut, cre] (ORCID: ), Przemyslaw Biecek [aut] (ORCID: ), Hubert Baniecki [aut], Anna Kozak [ctb] Maintainer: Szymon Maksymiuk