Package: CopulaInference 0.5.0

CopulaInference: Estimation and Goodness-of-Fit of Copula-Based Models with Arbitrary Distributions

Estimation and goodness-of-fit functions for copula-based models of bivariate data with arbitrary distributions (discrete, continuous, mixture of both types). The copula families considered here are the Gaussian, Student, Clayton, Frank, Gumbel, Joe, Plackett, BB1, BB6, BB7,BB8, together with the following non-central squared copula families in Nasri (2020) <doi:10.1016/j.spl.2020.108704>: ncs-gaussian, ncs-clayton, ncs-gumbel, ncs-frank, ncs-joe, and ncs-plackett. For theoretical details, see, e.g., Nasri and Remillard (2023) <arxiv:2301.13408>.

Authors:Bouchra R. Nasri [aut, cre, cph], Bruno N Remillard [aut]

CopulaInference_0.5.0.tar.gz
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manual.pdf |manual.html
card.svg |card.png
CopulaInference/json (API)

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

On CRAN:

Conda:

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

1.00 score 690 downloads 26 exports 16 dependencies

Last updated from:f107bafbcf. Checks:13 OK. Indexed: yes.

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macos-oldrel-arm64OK128
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wasm-releaseOK99

Exports:AuxFunAuxFunCBiEmpCdfbootstrapfunCdfInvdncsdplacEmpCdfest_optionsEstBiCopEstDepFinvfnumberGofBiCophncshplacidentifiabilitypncspplacpreparedatarhoplackettrncsrplacstatcvmtaucoptauplackett

Dependencies:assertthatBHcodetoolsdoParallelforeachiteratorskde1dlatticeMatrixrandtoolboxRcppRcppEigenRcppThreadrngWELLrvinecopulibwdm