Package: vimp Type: Package Title: Perform Inference on Algorithm-Agnostic Variable Importance Version: 2.3.8 Authors@R: c(person(given = "Brian D.", family = "Williamson", role = c("aut", "cre"), email = "brian.d.williamson@kp.org", comment = c(ORCID = "0000-0002-7024-548X")), person(given = "Jean", family = "Feng", role = "ctb"), person(given = "Charlie", family = "Wolock", role = "ctb"), person(given = "Noah", family = "Simon", role = "ths", comment = c(ORCID = "0000-0002-8985-2474")), person(given = "Marco", family = "Carone", role = "ths", comment = c(ORCID = "0000-0003-2106-0953"))) Description: Calculate point estimates of and valid confidence intervals for nonparametric, algorithm-agnostic variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (Biometrics, 2020), Williamson et al. (JASA, 2021), and Williamson and Feng (ICML, 2020). Depends: R (>= 3.1.0) Imports: SuperLearner, stats, dplyr, magrittr, ROCR, tibble, rlang, MASS, data.table, boot, rsample Suggests: knitr, rmarkdown, gam, xgboost, glmnet, ranger, polspline, quadprog, covr, testthat, ggplot2, cowplot, cvAUC, tidyselect, WeightedROC, purrr License: MIT + file LICENSE URL: https://bdwilliamson.github.io/vimp/, https://github.com/bdwilliamson/vimp, http://bdwilliamson.github.io/vimp/ BugReports: https://github.com/bdwilliamson/vimp/issues RoxygenNote: 7.3.2 VignetteBuilder: knitr LazyData: true Config/pak/sysreqs: libicu-dev Repository: https://bdwilliamson.r-universe.dev Date/Publication: 2026-05-18 16:57:01 UTC RemoteUrl: https://github.com/bdwilliamson/vimp RemoteRef: HEAD RemoteSha: c160a9fe05dbe78c8e31bb9d3f89e8be32509924 NeedsCompilation: no Packaged: 2026-06-17 07:02:27 UTC; root Author: Brian D. Williamson [aut, cre] (ORCID: ), Jean Feng [ctb], Charlie Wolock [ctb], Noah Simon [ths] (ORCID: ), Marco Carone [ths] (ORCID: ) Maintainer: Brian D. Williamson