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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "VisCollin" in publications use:'
type: software
title: 'VisCollin: Visualizing Collinearity Diagnostics'
version: 0.1.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.VisCollin
abstract: '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", <https://doi.org/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:
- family-names: Friendly
  given-names: Michael
  email: friendly@yorku.ca
  orcid: https://orcid.org/0000-0002-3237-0941
preferred-citation:
  type: manual
  title: 'VisCollin: Visualizing Collinearity Diagnostics'
  authors:
  - family-names: Friendly
    given-names: Michael
    email: friendly@yorku.ca
    orcid: https://orcid.org/0000-0002-3237-0941
  year: '2023'
  notes: R package version 0.1.2
  url: https://CRAN.R-project.org/package=VisCollin
repository: https://friendly.r-universe.dev
repository-code: https://github.com/friendly/VisCollin
commit: b7965975b0d11872b64a4a671e772fee72dfc928
url: https://friendly.github.io/VisCollin/
date-released: '2023-09-05'
contact:
- family-names: Friendly
  given-names: Michael
  email: friendly@yorku.ca
  orcid: https://orcid.org/0000-0002-3237-0941
references:
- type: article
  title: 'Where’s Waldo: Visualizing Collinearity Diagnostics.'
  authors:
  - family-names: Friendly
    given-names: Michael
  - family-names: Kwan
    given-names: Ernest
  year: '2009'
  journal: The American Statistician
  volume: '63'
  issue: '1'
  start: 56–65