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
 [aut, cre],
Bolívar Morales-Oñate
[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:
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