Package: copent 0.5

copent: Estimating Copula Entropy and Transfer Entropy

The nonparametric methods for estimating copula entropy, transfer entropy, and the statistics for multivariate normality test and two-sample test are implemented. The methods for estimating transfer entropy and the statistics for multivariate normality test and two-sample test are based on the method for estimating copula entropy. The method for change point detection with copula entropy based two-sample test is also implemented. Please refer to Ma and Sun (2011) <doi:10.1016/S1007-0214(11)70008-6>, Ma (2019) <doi:10.48550/arXiv.1910.04375>, Ma (2022) <doi:10.48550/arXiv.2206.05956>, Ma (2023) <doi:10.48550/arXiv.2307.07247>, and Ma (2024) <doi:10.48550/arXiv.2403.07892> for more information.

Authors:MA Jian [aut, cre]

copent_0.5.tar.gz
copent_0.5.zip(r-4.7)copent_0.5.zip(r-4.6)copent_0.5.zip(r-4.5)
copent_0.5.tgz(r-4.6-any)copent_0.5.tgz(r-4.5-any)
copent_0.5.tar.gz(r-4.7-any)copent_0.5.tar.gz(r-4.6-any)
copent_0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
copent/json (API)

# Install 'copent' in R:
install.packages('copent', repos = c('https://majianthu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/majianthu/copent/issues

On CRAN:

Conda:

causal-discoverycausalitychange-point-detectionconditional-independence-testconditional-mutual-informationcopulacopula-entropycorrelationentropygranger-causalityinformation-theorymutual-informationmutualinfnormality-testtransfer-entropytwo-sample-testvariable-selection

4.74 score 42 stars 26 scripts 284 downloads 9 exports 0 dependencies

Last updated from:1ddf260860. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK138
linux-release-x86_64OK113
macos-release-arm64OK171
macos-oldrel-arm64OK166
windows-develOK72
windows-releaseOK74
windows-oldrelOK63
wasm-releaseOK81

Exports:ciconstruct_empirical_copulacopentcpdentknnmcpdmvnttransenttst

Dependencies: