# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rvif" in publications use:' type: software license: GPL-2.0-or-later title: 'rvif: Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methods' version: '3.2' doi: 10.32614/CRAN.package.rvif identifiers: - type: url value: https://www.ugr.es/local/romansg/rvif/index.html abstract: The detection of troubling approximate collinearity in a multiple linear regression model is a classical problem in Econometrics. This package is focused on determining whether or not the degree of approximate multicollinearity in a multiple linear regression model is of concern, meaning that it affects the statistical analysis (i.e. individual significance tests) of the model. This objective is achieved by 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) , Salmerón, R., Rodríguez, A. and García C. (2020) , Salmerón, R., García, C.B, Rodríguez, A. and García, C. (2022) , Salmerón, R., García, C.B. and García, J. (2025) and Salmerón, R., García, C.B, García J. (2023, working paper) . You can also view the package vignette using 'browseVignettes("rvif")', the package website () using 'browseURL(system.file("docs/index.html", package = "rvif"))' or version control on GitHub (). authors: - family-names: Salmerón given-names: R. email: romansg@ugr.es - family-names: García given-names: C.B. repository: https://rnoremlas.r-universe.dev repository-code: http://colldetreat.r-forge.r-project.org/ commit: 7d7a5263a9e55a730cdf1f2d6da8ed98501ab9d1 url: https://github.com/rnoremlas/rvif_package date-released: '2025-10-06' contact: - family-names: Salmerón given-names: R. email: romansg@ugr.es