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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 Friendly |
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 |
Reference manual: | VisCollin.pdf |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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