Package: VisCollin 0.1.2
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:
VisCollin_0.1.2.tar.gz
VisCollin_0.1.2.zip(r-4.5)VisCollin_0.1.2.zip(r-4.4)VisCollin_0.1.2.zip(r-4.3)
VisCollin_0.1.2.tgz(r-4.4-any)VisCollin_0.1.2.tgz(r-4.3-any)
VisCollin_0.1.2.tar.gz(r-4.5-noble)VisCollin_0.1.2.tar.gz(r-4.4-noble)
VisCollin_0.1.2.tgz(r-4.4-emscripten)VisCollin_0.1.2.tgz(r-4.3-emscripten)
VisCollin.pdf |VisCollin.html✨
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
- biomass - Biomass Production in the Cape Fear Estuary
- cars - Cars Data
- consumption - Consumption Function Dataset
biplotscollinearity-diagnosticsgraphicsregression-models
Last updated 9 months agofrom:b7965975b0. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | NOTE | Nov 20 2024 |
| R-4.4-mac | NOTE | Nov 20 2024 |
| R-4.3-win | NOTE | Nov 20 2024 |
| R-4.3-mac | NOTE | Nov 20 2024 |
Exports:cellgramcolldiagmake.patternstableplot
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Biomass Production in the Cape Fear Estuary | biomass |
| Cars Data | cars |
| Draw one cell in a tableplot | cellgram |
| Collinearity Diagnostics | colldiag print.colldiag |
| Consumption Function Dataset | consumption |
| Construct collection of pattern specifications for tableplot | make.patterns |
| Tableplot: A Semi-graphic Display of a Table | tableplot tableplot.default |
| Tableplot for Collinearity Diagnostics | tableplot.colldiag tableplot.colldig tableplot.glm tableplot.lm |
