Package: rvif 1.0

R. Salmeron

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:R. Salmeron and C. Garcia

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'))

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/colldetreat

On CRAN:

2 exports 0.74 score 1 dependencies 225 downloads

Last updated 2 years agofrom:4246eff3c5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-winOKAug 19 2024
R-4.5-linuxOKAug 19 2024
R-4.4-winOKAug 19 2024
R-4.4-macOKAug 19 2024
R-4.3-winOKAug 19 2024
R-4.3-macOKAug 19 2024

Exports:CV_VIFRVIF

Dependencies:multiColl