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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 VisCollin_0.1.2.tar.gz 184.8 KiB
0.1.2 rolling linux/noble R-4.5 VisCollin_0.1.2.tar.gz 184.7 KiB
0.1.2 rolling source/ R- VisCollin_0.1.2.tar.gz 158.6 KiB
0.1.2 latest linux/jammy R-4.5 VisCollin_0.1.2.tar.gz 184.8 KiB
0.1.2 latest linux/noble R-4.5 VisCollin_0.1.2.tar.gz 184.7 KiB
0.1.2 latest source/ R- VisCollin_0.1.2.tar.gz 158.6 KiB
0.1.2 2026-04-26 source/ R- VisCollin_0.1.2.tar.gz 158.6 KiB
0.1.2 2026-04-23 source/ R- VisCollin_0.1.2.tar.gz 158.6 KiB
0.1.2 2026-04-09 windows/windows R-4.5 VisCollin_0.1.2.zip 189.5 KiB
0.1.2 2025-04-20 source/ R- VisCollin_0.1.2.tar.gz 158.6 KiB

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