Package: VisCollin 0.1.4

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]

VisCollin_0.1.4.tar.gz
VisCollin_0.1.4.zip(r-4.7)VisCollin_0.1.4.zip(r-4.6)VisCollin_0.1.4.zip(r-4.5)
VisCollin_0.1.4.tgz(r-4.6-any)VisCollin_0.1.4.tgz(r-4.5-any)
VisCollin_0.1.4.tar.gz(r-4.7-any)VisCollin_0.1.4.tar.gz(r-4.6-any)
VisCollin_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
VisCollin/json (API)
NEWS

# Install 'VisCollin' in R:
install.packages('VisCollin', repos = c('https://friendly.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown/docs site:https://friendly.github.io

Datasets:
  • biomass - Biomass Production in the Cape Fear Estuary
  • cars - Cars Data
  • consumption - Consumption Function Dataset

On CRAN:

Conda:

biplotscollinearity-diagnosticsgraphicsregression-models

3.60 score 1 stars 20 scripts 223 downloads 4 exports 1 dependencies

Last updated from:6ca6dc5f1b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK201
linux-release-x86_64OK137
macos-release-arm64OK116
macos-oldrel-arm64OK111
windows-develOK86
windows-releaseOK70
windows-oldrelOK89
wasm-releaseOK108

Exports:cellgramcolldiagmake.patternstableplot

Dependencies:tinytable