Testing the Independence of Variables for Specific Covariance Structures
Overview
Test the nullity of covariances, in a set of variables, using a simple univariate procedure. See Marques, Diago, Norouzirad, Bispo (2023) doi:10.1002/mma.9130.
- Initial CRAN submission.
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 17%
Downloads
Repository
5 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/mnrzrad/testindvars on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing TestIndVars adds 1 package (0 with compiled code, 30 KB of source tarballs). Heaviest: matrixcalc 30 KB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.0Latest2024-04-17 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-04-17
- Total releases
- 1 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5
- Download size
- 208 KB
Cite
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