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-4.5-any)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

On CRAN:

2.00 score 2 scripts 549 downloads 2 exports 1 dependencies

Last updated 2 years agofrom:4246eff3c5. Checks:9 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 17 2025
R-4.5-win	OK	Mar 17 2025
R-4.5-mac	OK	Mar 17 2025
R-4.5-linux	OK	Mar 17 2025
R-4.4-win	OK	Mar 17 2025
R-4.4-mac	OK	Mar 17 2025
R-4.4-linux	OK	Mar 17 2025
R-4.3-win	OK	Mar 17 2025
R-4.3-mac	OK	Mar 17 2025