Package: ale Title: Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE) Version: 0.5.3.20260217 Authors@R: c( person("Chitu", "Okoli", , "Chitu.Okoli@skema.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5574-7572")) ) Description: Accumulated Local Effects (ALE) were initially developed as a model-agnostic approach for global explanations of the results of black-box machine learning algorithms. ALE has a key advantage over other approaches like partial dependency plots (PDP) and SHapley Additive exPlanations (SHAP): its values represent a clean functional decomposition of the model. As such, ALE values are not affected by the presence or absence of interactions among variables in a mode. Moreover, its computation is relatively rapid. This package reimplements the algorithms for calculating ALE data and develops highly interpretable visualizations for plotting these ALE values. It also extends the original ALE concept to add bootstrap-based confidence intervals and ALE-based statistics that can be used for statistical inference. For more details, see Okoli, Chitu. 2023. “Statistical Inference Using Machine Learning and Classical Techniques Based on Accumulated Local Effects (ALE).” arXiv. . License: MIT + file LICENSE Language: en-ca Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Suggests: agridat, cluster, kableExtra, knitr, mgcv, nnet, quarto, ranger, readr, rmarkdown, rsample, testthat (>= 3.0.0), tictoc, yaImpute VignetteBuilder: knitr, quarto Imports: broom, cli, dplyr, furrr, future, ggplot2, insight, methods, patchwork, progressr, purrr, rlang, S7, staccuracy, stats, stringr, tidyr, univariateML, utils Depends: R (>= 4.2.0) 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-numerical, ModelBoot, ALE-categorical, ALEpDist, ALE-binary, ALEPlot-gold-standard LazyData: true Config/pak/sysreqs: cmake make libicu-dev Repository: https://tripartio.r-universe.dev Date/Publication: 2026-02-18 09:52:28 UTC RemoteUrl: https://github.com/tripartio/ale RemoteRef: HEAD RemoteSha: c8f1d6d5da302e6944320d81f24fea57526d7ef9 NeedsCompilation: no Packaged: 2026-07-18 06:11:16 UTC; root Author: Chitu Okoli [aut, cre] (ORCID: ) Maintainer: Chitu Okoli