Package: rvif 1.0
rvif: Collinearity Detection using RVIF and Graphical Methods
The detection of troubling approximate collinearity in a multiple linear regression model is a classical problem in Econometrics. The objective of this package is to detect it using the variance inflation factor redefined and the scatterplot between the variance inflation factor and the coefficient of variation.
Authors:
rvif_1.0.tar.gz
rvif_1.0.zip(r-4.5)rvif_1.0.zip(r-4.4)rvif_1.0.zip(r-4.3)
rvif_1.0.tgz(r-4.4-any)rvif_1.0.tgz(r-4.3-any)
rvif_1.0.tar.gz(r-4.5-noble)rvif_1.0.tar.gz(r-4.4-noble)
rvif_1.0.tgz(r-4.4-emscripten)rvif_1.0.tgz(r-4.3-emscripten)
rvif.pdf |rvif.html✨
rvif/json (API)
# Install 'rvif' in R: |
install.packages('rvif', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/colldetreat
Last updated 2 years agofrom:4246eff3c5. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 19 2024 |
R-4.5-win | OK | Aug 19 2024 |
R-4.5-linux | OK | Aug 19 2024 |
R-4.4-win | OK | Aug 19 2024 |
R-4.4-mac | OK | Aug 19 2024 |
R-4.3-win | OK | Aug 19 2024 |
R-4.3-mac | OK | Aug 19 2024 |
Dependencies:multiColl
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Multicollinearity Detection using RVIF and graphical methods | rvif-package rvif |
VIF, CV and its scatter plot | CV_VIF |
RVIF calculation | RVIF |