perturb: Tools for Evaluating Collinearity

Use the perturb() function to evaluates collinearity by adding random noise to selected variables (Hendrickx & Pelzer 2004). The colldiag function() calculates condition numbers and variance decomposition proportions to test for collinearity and uncover its sources (Belsley 1980).

Version: 2.10
Imports: gdata
Suggests: car, rms
Published: 2019-01-16
Author: John Hendrickx
Maintainer: John Hendrickx <John_Hendrickx at yahoo.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: SocialSciences
CRAN checks: perturb results

Downloads:

Reference manual: perturb.pdf
Package source: perturb_2.10.tar.gz
Windows binaries: r-devel: perturb_2.10.zip, r-release: perturb_2.10.zip, r-oldrel: perturb_2.10.zip
OS X binaries: r-release: perturb_2.10.tgz, r-oldrel: perturb_2.10.tgz
Old sources: perturb archive

Reverse dependencies:

Reverse suggests: tableplot

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