Package: VisCollin
Title: Visualizing Collinearity Diagnostics
Version: 0.1.2
Date: 2023-09-05
Authors@R: c(person("Michael", "Friendly", , "friendly@yorku.ca", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-3237-0941"))
           )
Description: 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. 
Depends: R (>= 3.5.0)
Suggests: car, corrgram, corrplot, dplyr, lmtest, knitr, tidyr
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
RoxygenNote: 7.2.3
URL: https://github.com/friendly/VisCollin
BugReports: https://github.com/friendly/VisCollin/issues
NeedsCompilation: no
Packaged: 2023-09-05 15:50:59 UTC; friendly
Author: Michael Friendly [aut, cre] (<https://orcid.org/0000-0002-3237-0941>)
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2023-09-05 16:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 23:04:26 UTC; unix
