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Relix is a high-performance library that calculates the relative importance of regression terms. Relix iteratively fits several linear regressions with varying combinations of predictors. The scores of these models are aggregated to provide a single score for each predictor, indicating its importance relative to the other predictors in the dataset. Relix is designed for speed and efficiency - allowing users to calculate relative importance relatively quickly.

Relix's methodology is based off of "Relative Importance for Linear Regression in R: The Package relaimpo" (https://www.jstatsoft.org/article/view/v017i01) by Ulrike Groemping.

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Registered: 2025-01-03 02:17
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