{ "_id": "6ac7d39bde46216d5edd345e", "Package": "ale", "Title": "Interpretable Machine Learning and Statistical Inference with\nAccumulated Local Effects (ALE)", "Version": "0.5.3.20261008", "Authors@R": "c(\nperson(\"Chitu\", \"Okoli\", , \"Chitu.Okoli@skema.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-5574-7572\"))\n)", "Description": "Accumulated Local Effects (ALE) were initially developed\nas a model-agnostic approach for global explanations of the\nresults of black-box machine learning algorithms. ALE has a key\nadvantage over other approaches like partial dependency plots\n(PDP) and SHapley Additive exPlanations (SHAP): its values\nrepresent a clean functional decomposition of the model. As\nsuch, ALE values are not affected by the presence or absence of\ninteractions among variables in a mode. Moreover, its\ncomputation is relatively rapid. This package reimplements the\nalgorithms for calculating ALE data and develops highly\ninterpretable visualizations for plotting these ALE values. It\nalso extends the original ALE concept to add bootstrap-based\nconfidence intervals and ALE-based statistics that can be used\nfor statistical inference. For more details, see Okoli, Chitu.\n2023. “Statistical Inference Using Machine Learning and\nClassical Techniques Based on Accumulated Local Effects (ALE).”\narXiv. .", "License": "MIT + file LICENSE", "Language": "en-ca", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "VignetteBuilder": "knitr, quarto", "URL": "https://github.com/tripartio/ale, https://tripartio.github.io/ale/", "BugReports": "https://github.com/tripartio/ale/issues", "Config/testthat/edition": "3", "Config/testthat/parallel": "true", "Config/testthat/start-first": "ALE-categorical, ModelBoot, ALEpDist,\nALE-numerical, ALE-binary, ALEPlot-gold-standard", "LazyData": "true", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "cmake libicu-dev", "Repository": "https://tripartio.r-universe.dev", "Date/Publication": "2026-10-08 09:35:27 UTC", "RemoteUrl": "https://github.com/tripartio/ale", "RemoteRef": "HEAD", "RemoteSha": "3c11ce7f881a4c4f3e0acc784d29f2a8f2a3d7c6", "NeedsCompilation": "no", "Packaged": 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