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: | 1.0.4 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2,plotly |
| Published: | 2025-09-11 |
| DOI: | 10.32614/CRAN.package.MTest |
| Author: | Víctor Morales-Oñate [aut, cre], Bolívar Morales-Oñate [aut] |
| Maintainer: | Víctor Morales-Oñate <vmorales.ppb at gmail.com> |
| 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.html ,MTest.pdf |
Downloads:
| Package source: | MTest_1.0.4.tar.gz |
| Windows binaries: | r-devel:MTest_1.0.4.zip, r-release:MTest_1.0.4.zip, r-oldrel:MTest_1.0.4.zip |
| macOS binaries: | r-release (arm64):MTest_1.0.4.tgz, r-oldrel (arm64):MTest_1.0.4.tgz, r-release (x86_64):MTest_1.0.4.tgz, r-oldrel (x86_64):MTest_1.0.4.tgz |
| Old sources: | MTest archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=MTestto link to this page.