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VisCollin: Visualizing Collinearity Diagnostics

Provides methods to calculate diagnostics for multicollinearity among predictors in a linear or generalized linear model. It also provides methods to visualize those diagnostics following Friendly & Kwan (2009), "Where’s Waldo: Visualizing Collinearity Diagnostics", <doi:10.1198/tast.2009.0012>. These include better tabular presentation of collinearity diagnostics that highlight the important numbers, a semi-graphic tableplot of the diagnostics to make warning and danger levels more salient, and a "collinearity biplot" of the smallest dimensions of predictor space, where collinearity is most apparent.

Version:0.1.2
Depends:R (≥ 3.5.0)
Suggests:car,corrgram,corrplot,dplyr,lmtest,knitr,tidyr
Published:2023-09-05
DOI:10.32614/CRAN.package.VisCollin
Author:Michael FriendlyORCID iD [aut, cre]
Maintainer:Michael Friendly <friendly at yorku.ca>
BugReports:https://github.com/friendly/VisCollin/issues
License:GPL (≥ 3)
URL:https://github.com/friendly/VisCollin
NeedsCompilation:no
Language:en-US
Citation:VisCollin citation info
Materials:README,NEWS
CRAN checks:VisCollin results

Documentation:

Reference manual:VisCollin.html ,VisCollin.pdf

Downloads:

Package source: VisCollin_0.1.2.tar.gz
Windows binaries: r-devel:VisCollin_0.1.2.zip, r-release:VisCollin_0.1.2.zip, r-oldrel:VisCollin_0.1.2.zip
macOS binaries: r-release (arm64):VisCollin_0.1.2.tgz, r-oldrel (arm64):VisCollin_0.1.2.tgz, r-release (x86_64):VisCollin_0.1.2.tgz, r-oldrel (x86_64):VisCollin_0.1.2.tgz
Old sources: VisCollin archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=VisCollinto link to this page.


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