Package: cpi Type: Package Title: Conditional Predictive Impact Version: 0.1.5 Date: 2024-11-05 Authors@R: c(person(given = "Marvin N.", family = "Wright", role = c("aut", "cre"), email = "cran@wrig.de", comment = c(ORCID = "0000-0002-8542-6291")), person(given = "David S.", family = "Watson", role = "aut")) Maintainer: Marvin N. Wright Description: A general test for conditional independence in supervised learning algorithms as proposed by Watson & Wright (2021) . Implements a conditional variable importance measure which can be applied to any supervised learning algorithm and loss function. Provides statistical inference procedures without parametric assumptions and applies equally well to continuous and categorical predictors and outcomes. License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.2 URL: https://github.com/bips-hb/cpi, https://bips-hb.github.io/cpi/ BugReports: https://github.com/bips-hb/cpi/issues Imports: foreach, mlr3, lgr, knockoff Suggests: mlr3learners, ranger, glmnet, testthat (>= 3.0.0), knitr, rmarkdown, doParallel Config/testthat/edition: 3 VignetteBuilder: knitr Repository: https://bips-hb.r-universe.dev Date/Publication: 2024-11-25 17:07:04 UTC RemoteUrl: https://github.com/bips-hb/cpi RemoteRef: HEAD RemoteSha: 238e428d7ae2a00b98cfec5a04a93a44ca4c7374 NeedsCompilation: no Packaged: 2026-07-05 04:06:08 UTC; root Author: Marvin N. Wright [aut, cre] (ORCID: ), David S. Watson [aut]