Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Michael Friendly [aut, cre] (<https://orcid.org/0000-0002-3237-0941>) |
| Maintainer | Michael Friendly <friendly@yorku.ca> |
| License | GPL (>= 3) |
| Version | 0.1.2 |
| URL | https://github.com/friendly/VisCollin |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the VisCollin package in your browser
Any scripts or data that you put into this service are public.
