DESCRIPTION

Package: rwa
Type: Package
Title: Perform a Relative Weights Analysis
Version: 0.0.3
Author: Martin Chan <martinchan53@gmail.com>
Maintainer: Martin Chan <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
LazyData: true
URL: https://github.com/martinctc/rwa
BugReports: https://github.com/martinctc/rwa/issues
RoxygenNote: 7.1.1
Roxygen: list(markdown = TRUE)
Imports:
	dplyr,
	magrittr,
	stats,
	tidyr,
	ggplot2