MixedIndTests
1.2.0Tests of Randomness and Tests of Independence
Overview
Functions for testing randomness for a univariate time series with arbitrary distribution (discrete, continuous, mixture of both types) and for testing independence between random variables with arbitrary distributions. The test statistics are based on the multilinear empirical copula and multipliers are used to compute P-values. The test of independence between random variables appeared in Genest, Nešlehová, Rémillard & Murphy (2019) and the test of randomness appeared in Nasri (2022).
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 95%
- Documented parameters
- 100%
- Return-value docs
- 86%
- References docs
- 85%
Downloads
Dependencies
Code & Tests
Datasets
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.2.0Latest
- RR 4.3.0 released · 2023-04-21
- 1.1.02022-10-04 · diff ↗
- 0.9.12022-05-05 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.8.02022-03-03 · diff ↗
- 0.7.02022-02-24 · diff ↗
- 0.1.52021-10-09 · diff ↗
- 0.1.42021-08-02
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-08-02
- Total releases
- 7 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.7 KB / 5 files
- Download size
- 32 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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Run in R for the authors' preferred citation:
citation("MixedIndTests")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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