Package: VisCollin 0.1.2

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.

Authors:Michael Friendly [aut, cre]

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Bug tracker:https://github.com/friendly/viscollin/issues

On CRAN:

biplotscollinearity-diagnosticsgraphicsregression-models

4 exports 1 stars 0.92 score 0 dependencies 11 scripts 144 downloads

Last updated 7 months agofrom:b7965975b0. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:cellgramcolldiagmake.patternstableplot

Dependencies: