Package: rwa Type: Package Title: Perform a Relative Weights Analysis Version: 1.0.1 Authors@R: person(given = "Martin", family = "Chan", role = c("aut", "cre"), email = "martinchan53@gmail.com") Description: Perform a Relative Weights Analysis (RWA) (a.k.a. Key Drivers Analysis) as per the method described in Tonidandel & LeBreton (2015) , with its original roots in Johnson (2000) . In essence, RWA decomposes the total variance predicted in a regression model into weights that accurately reflect the proportional contribution of the predictor variables, which addresses the issue of multi-collinearity. In typical scenarios, RWA returns similar results to Shapley regression, but with a significant advantage on computational performance. License: GPL-3 Encoding: UTF-8 URL: https://martinctc.github.io/rwa/, https://github.com/martinctc/rwa BugReports: https://github.com/martinctc/rwa/issues Roxygen: list(markdown = TRUE) Depends: R (>= 4.1.0) Imports: dplyr, magrittr, stats, tidyr, ggplot2, boot, purrr, utils Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rlang, spelling VignetteBuilder: knitr Config/testthat/edition: 3 Language: en-US Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: libicu-dev Repository: https://martinctc.r-universe.dev Date/Publication: 2026-09-29 09:00:53 UTC RemoteUrl: https://github.com/martinctc/rwa RemoteRef: HEAD RemoteSha: cb869cfea937c5f9fb3e2a5f09c783ced755f453 NeedsCompilation: no Packaged: 2026-09-29 09:17:23 UTC; root Author: Martin Chan [aut, cre] Maintainer: Martin Chan