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: NA
Author: Michael Friendly ORCID 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.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

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