A Procedure for Multicollinearity Testing using Bootstrap
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 4
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 75%
Downloads
Repository
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Forks over time
Checks run against github.com/vmoprojs/mtest on 2026-10-21.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing MTest adds 64 packages (35 with compiled code, 63 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.4Latest
- unarchivedReturned to CRAN2025-09-10
- 1.0.32025-09-10 · diff ↗
- archivedRemoved from CRAN2025-07-23email to the maintainer is undeliverable
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.22023-10-06 · diff ↗
- 1.0.1
- 1.0.02023-07-18
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-07-18
- Total releases
- 5 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 300 KB / 1 file
- Download size
- 311 KB
Cite
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citation("MTest")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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