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 .


Reference manual

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0.1.5 by Bouchra R. Nasri, 4 months ago

Browse source code at https://github.com/cran/MixedIndTests

Authors: Bouchra R. Nasri [aut, cre, cph] , Bruno N Remillard [aut] , Johanna G Neslehova [aut] , Christian Genest [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports ggplot2, survey

Depends on doParallel, parallel, foreach, stats

See at CRAN