Perform a Relative Weights Analysis

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.


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Reference manual

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install.packages("rwa")

0.0.3 by Martin Chan, 5 months ago


https://github.com/martinctc/rwa


Report a bug at https://github.com/martinctc/rwa/issues


Browse source code at https://github.com/cran/rwa


Authors: Martin Chan <[email protected]>


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, magrittr, stats, tidyr, ggplot2


See at CRAN