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-4.5)copent_0.5.zip(r-4.4)copent_0.5.zip(r-4.3)
copent_0.5.tgz(r-4.4-any)copent_0.5.tgz(r-4.3-any)
copent_0.5.tar.gz(r-4.5-noble)copent_0.5.tar.gz(r-4.4-noble)
copent_0.5.tgz(r-4.4-emscripten)copent_0.5.tgz(r-4.3-emscripten)
copent.pdf |copent.html
copent/json (API)

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

Peer review:

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

On CRAN:

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

5.08 score 40 stars 1 packages 20 scripts 411 downloads 9 exports 0 dependencies

Last updated 6 months agofrom:1ddf260860. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:ciconstruct_empirical_copulacopentcpdentknnmcpdmvnttransenttst

Dependencies: