rwa
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) <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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | rwa_0.1.1.tar.gz |
132.4 KiB |
0.1.1 |
rolling linux/noble R-4.5 | rwa_0.1.1.tar.gz |
132.3 KiB |
0.1.1 |
rolling source/ R- | rwa_0.1.1.tar.gz |
131.4 KiB |
0.1.1 |
latest linux/jammy R-4.5 | rwa_0.1.1.tar.gz |
132.4 KiB |
0.1.1 |
latest linux/noble R-4.5 | rwa_0.1.1.tar.gz |
132.3 KiB |
0.1.1 |
latest source/ R- | rwa_0.1.1.tar.gz |
131.4 KiB |
0.1.1 |
2026-04-26 source/ R- | rwa_0.1.1.tar.gz |
131.4 KiB |
0.1.1 |
2026-04-23 source/ R- | rwa_0.1.1.tar.gz |
131.4 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | rwa_0.1.1.zip |
140.6 KiB |
0.0.3 |
2025-04-20 source/ R- | rwa_0.0.3.tar.gz |
7.6 KiB |