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rvif: Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methods

dc.contributor.authorSalmerón Gómez, Román 
dc.contributor.authorGarcía García, Catalina 
dc.date.accessioned2024-01-29T10:23:54Z
dc.date.available2024-01-29T10:23:54Z
dc.date.issued2022-12-22
dc.identifier.citationSalmerón, R. and García, C.B. (2022). rvif: Collinearity Detection using RVIF and Graphical Methods. R package version 1.0, url: https://CRAN.R-project.org/package=rvif.es_ES
dc.identifier.otherhttps://cran.r-project.org/web/packages/rvif/rvif.pdf
dc.identifier.otherhttps://CRAN.R-project.org/package=rvif
dc.identifier.urihttps://hdl.handle.net/10481/87458
dc.description.abstractThe 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, García J. (2023, https://arxiv.org/abs/2005.02245).es_ES
dc.language.isoenges_ES
dc.publisherThe Comprehensive R Archive Network (CRAN)es_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMulticolinealidades_ES
dc.subjectdetecciónes_ES
dc.titlervif: Collinearity Detection using Redefined Variance Inflation Factor and Graphical Methodses_ES
dc.typeotheres_ES
dc.rights.accessRightsopen accesses_ES
dc.type.hasVersionVoRes_ES


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