Relative Importance for Linear Regression in R : The Package relaimpo
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Abstract
Relative importance is a topic that has seen a lot of interest in recent years, particularly in applied work. The R package relaimpo implements six different metrics for assessing relative importance of regressors in the linear model, two of which are recommended - averaging over orderings of regressors and a newly proposed metric (Feldman 2005) called pmvd. Apart from delivering the metrics themselves, relaimpo also provides (exploratory) bootstrap confidence intervals. This paper offers a brief tutorial introduction to the package. The methods and relaimpo's functionality are illustrated using the data set swiss that is generally available in R. The paper targets readers who have a basic understanding of…
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Topics
Keywords
- R package
- Metric (unit)
- Computer science
- Linear regression
- Set (abstract data type)
- Linear model
- Confidence interval
- Regression
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