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:
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CopulaInference/json (API)
# Install 'CopulaInference' in R: |
install.packages('CopulaInference', repos = c('https://bouchranasri.r-universe.dev', 'https://cloud.r-project.org')) |
- simgumbel - Simulated data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:f107bafbcf. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 08 2024 |
R-4.5-win-x86_64 | OK | Oct 08 2024 |
R-4.5-linux-x86_64 | OK | Oct 08 2024 |
R-4.4-win-x86_64 | OK | Oct 08 2024 |
R-4.4-mac-x86_64 | OK | Oct 08 2024 |
R-4.4-mac-aarch64 | OK | Oct 08 2024 |
R-4.3-win-x86_64 | OK | Oct 08 2024 |
R-4.3-mac-x86_64 | OK | Oct 08 2024 |
R-4.3-mac-aarch64 | OK | Oct 08 2024 |
Exports:AuxFunAuxFunCBiEmpCdfbootstrapfunCdfInvdncsdplacEmpCdfest_optionsEstBiCopEstDepFinvfnumberGofBiCophncshplacidentifiabilitypncspplacpreparedatarhoplackettrncsrplacstatcvmtaucoptauplackett
Dependencies:assertthatBHcodetoolsdoParallelforeachiteratorskde1dlatticeMatrixrandtoolboxRcppRcppEigenRcppThreadrngWELLrvinecopulibwdm