MixedIndTests
Tests of Randomness and Tests of Independence
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).
- Version1.2.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/14/2024
Team
Bouchra R. Nasri
MaintainerShow author detailsBruno N Remillard
Show author detailsRolesAuthorChristian Genest
Johanna G Neslehova
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 600 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 9,544 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Sep 11, 2024 with 89 downloads.
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Dependencies
- Depends3 packages
- Imports2 packages