rvif: Collinearity Detection using Redefined Variance Inflation Factor 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. For more details see Salmerón R., García C.B. and García J. (2018) <doi:10.1080/00949655.2018.1463376>, Salmerón, R., Rodríguez, A. and García C. (2020) <doi:10.1007/s00180-019-00922-x>, Salmerón, R., García, C.B, Rodríguez, A. and García, C. "Limitations in Detecting Multicollinearity due to Scaling Issues in the mcvis Package" (2022, to appear in The R Journal) and Salmerón, R., García, C.B, García J. (2023, working paper) <arXiv:2005.02245>.

Version: 1.0
Depends: R (≥ 3.5.0), multiColl
Published: 2022-12-22
Author: R. Salmerón and C.B. García
Maintainer: R. Salmerón <romansg at ugr.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://colldetreat.r-forge.r-project.org/
NeedsCompilation: no
CRAN checks: rvif results


Reference manual: rvif.pdf


Package source: rvif_1.0.tar.gz
Windows binaries: r-devel: rvif_1.0.zip, r-release: rvif_1.0.zip, r-oldrel: rvif_1.0.zip
macOS binaries: r-release (arm64): rvif_1.0.tgz, r-oldrel (arm64): rvif_1.0.tgz, r-release (x86_64): rvif_1.0.tgz, r-oldrel (x86_64): rvif_1.0.tgz


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