Package: rwa
Type: Package
Title: Perform a Relative Weights Analysis
Version: 0.1.1
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) <DOI:10.1007/s10869-014-9351-z>, with its original roots in Johnson (2000) <DOI:10.1207/S15327906MBR3501_1>. 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
RoxygenNote: 7.3.2
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
NeedsCompilation: no
Packaged: 2026-01-20 16:34:30 UTC; martinchan
Author: Martin Chan [aut, cre]
Maintainer: Martin Chan <martinchan53@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-20 17:10:07 UTC
Built: R 4.6.0; ; 2026-04-26 21:20:15 UTC; unix
