Package: VisCollin
Title: Visualizing Collinearity Diagnostics
Version: 0.1.4
Date: 2025-12-19
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 (>= 4.1.0)
Imports: tinytable
Suggests: car, corrgram, corrplot, dplyr, lmtest, knitr, tidyr,
        webshot2
License: GPL (>=3)
Language: en-US
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
URL: https://github.com/friendly/VisCollin,
        https://friendly.github.io/VisCollin/
BugReports: https://github.com/friendly/VisCollin/issues
Repository: https://friendly.r-universe.dev
Date/Publication: 2025-12-23 18:30:39 UTC
RemoteUrl: https://github.com/friendly/VisCollin
RemoteRef: HEAD
RemoteSha: 6ca6dc5f1bc298a3c03fb3151c2cd5da72afa08d
NeedsCompilation: no
Packaged: 2026-06-23 06:14:12 UTC; root
Author: Michael Friendly [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3237-0941>)
Maintainer: Michael Friendly <friendly@yorku.ca>