relaimpo: Relative Importance of Regressors in Linear Models

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.

Version: 2.2-6
Depends: R (≥ 2.2.1), MASS, boot, survey, mitools, graphics
Imports: methods, corpcor
Suggests: care
Published: 2021-10-20
Author: Ulrike Groemping [aut, cre], Lehrkamp Matthias [ctb]
Maintainer: Ulrike Groemping <ulrike.groemping at bht-berlin.de>
License: GPL-2
URL: https://prof.bht-berlin.de/groemping/relaimpo/, https://prof.bht-berlin.de/groemping/
NeedsCompilation: no
Citation: relaimpo citation info
Materials: NEWS
CRAN checks: relaimpo results

Documentation:

Reference manual: relaimpo.pdf

Downloads:

Package source: relaimpo_2.2-6.tar.gz
Windows binaries: r-devel: relaimpo_2.2-6.zip, r-release: relaimpo_2.2-6.zip, r-oldrel: relaimpo_2.2-6.zip
macOS binaries: r-release (arm64): relaimpo_2.2-6.tgz, r-oldrel (arm64): relaimpo_2.2-6.tgz, r-release (x86_64): relaimpo_2.2-6.tgz, r-oldrel (x86_64): relaimpo_2.2-6.tgz
Old sources: relaimpo archive

Reverse dependencies:

Reverse imports: ModTools, packDAMipd, RelimpPCR, sensitivityCalibration
Reverse suggests: bootnet, domir, FactorsR, ic.infer

Linking:

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