The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

MTest: A Procedure for Multicollinearity Testing using Bootstrap

Functions for detecting multicollinearity. This test gives statistical support to two of the most famous methods for detecting multicollinearity in applied work: Klein’s rule and Variance Inflation Factor (VIF). See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2015) <doi:10.33333/rp.vol51n2.05>.

Version: 1.0.2
Depends: R (≥ 4.1.0)
Imports: car, ggplot2, plotly
Published: 2023-10-06
Author: Víctor Morales-Oñate ORCID iD [aut, cre], Bolívar Morales-Oñate ORCID iD [aut]
Maintainer: Víctor Morales-Oñate <victor.morales at uv.cl>
BugReports: https://github.com/vmoprojs/MTest/issues
License: GPL (≥ 3)
URL: https://github.com/vmoprojs/MTest
NeedsCompilation: no
CRAN checks: MTest results

Documentation:

Reference manual: MTest.pdf

Downloads:

Package source: MTest_1.0.2.tar.gz
Windows binaries: r-devel: MTest_1.0.2.zip, r-release: MTest_1.0.2.zip, r-oldrel: MTest_1.0.2.zip
macOS binaries: r-release (arm64): MTest_1.0.2.tgz, r-oldrel (arm64): MTest_1.0.2.tgz, r-release (x86_64): MTest_1.0.2.tgz, r-oldrel (x86_64): MTest_1.0.2.tgz
Old sources: MTest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MTest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.