Learn R Programming

relaimpo (version 2.2-7)

Relative Importance of Regressors in Linear Models

Description

Provides several metrics for assessing relative importance in linear models. These can be printed, plotted and bootstrapped. The recommended metric is lmg, which provides a decomposition of the model explained variance into non-negative contributions. There is a version of this package available that additionally provides a new and also recommended metric called pmvd. If you are a non-US user, you can download this extended version from Ulrike Groempings web site.

Copy Link

Version

Install

install.packages('relaimpo')

Monthly Downloads

3,728

Version

2.2-7

License

GPL-2

Last Published

October 4th, 2023

Functions in relaimpo (2.2-7)

relimplmboot-class

Class relimplmboot
booteval.relimp

Functions to Bootstrap Relative Importance Metrics
relimplmbootMI-class

Class relimplmbootMI
relimplmbooteval-class

Class relimplmbooteval
classesmethods.relaimpo

Classes and Methods in Package relaimpo
mianalyze.relimp

Function to do relative importance calculations based on multiply imputed datasets
calc.relimp

Function to calculate relative importance metrics for linear models
relimplm-class

Class relimplm
relaimpo-package

Package to calculate relative importance metrics for linear models