Package: MixedIndTests 1.2.0

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).

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

MixedIndTests_1.2.0.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
MixedIndTests/json (API)

# Install 'MixedIndTests' in R:
install.packages('MixedIndTests', repos = c('https://bouchranasri.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • horseshoecrabs - Horseshoecrabs dataset
  • lamb - Fetal lamb dataset
  • X - AR(1) Poisson with parameters
  • Xbin - Bernoulli sequence
  • Y - VAR(1) Poisson with parameters

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 1 packages 6 scripts 786 downloads 21 exports 40 dependencies

Last updated from:c4e3841c03. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK199
linux-devel-x86_64OK166
source / vignettesOK158
linux-release-arm64OK166
linux-release-x86_64OK161
macos-release-arm64OK145
macos-release-x86_64OK238
macos-oldrel-arm64OK113
macos-oldrel-x86_64OK215
windows-develOK119
windows-releaseOK130
windows-oldrelOK125
wasm-releaseOK104

Exports:AutoDepbootstrapDependogramDependogramZEstDepEstDepMoebiusEstDepSerialEstDepSerialMoebiusFinvpreparedataselect_pSimAR1PoissonSimCopulaSeriesSn_AserialSn_AserialVecSn_serialstat_depstat_dep_serTestIndCopulaTestIndSerCopulaTestIndSerCopulaMulti

Dependencies:ADGofTestcliclustercodetoolscolorspacecopulacpp11DBIdoParallelfarverforeachggplot2gluegslgtableisobanditeratorslabelinglatticelifecycleMatrixminqamitoolsmvtnormnumDerivpcaPPpsplineR6RColorBrewerRcppRcppArmadillorlangS7scalesstabledistsurveysurvivalvctrsviridisLitewithr