relaimpo 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.
|Author||Ulrike Groemping [aut, cre], Lehrkamp Matthias [ctb]|
|Date of publication||2013-09-11 14:29:23|
|Maintainer||Ulrike Groemping <firstname.lastname@example.org>|
booteval.relimp: Functions to Bootstrap Relative Importance Metrics
calc.relimp: Function to calculate relative importance metrics for linear...
classesmethods.relaimpo: Classes and Methods in Package relaimpo
mianalyze.relimp: Function to do relative importance calculations based on...
relaimpo-package: Package to calculate relative importance metrics for linear...
relimplmboot-class: Class relimplmboot
relimplmbooteval-class: Class relimplmbooteval
relimplmbootMI-class: Class relimplmbootMI
relimplm-class: Class relimplm