Package: tailDepFun 1.0.1
tailDepFun: Minimum Distance Estimation of Tail Dependence Models
Provides functions implementing minimal distance estimation methods for parametric tail dependence models, as proposed in Einmahl, J.H.J., Kiriliouk, A., Krajina, A., and Segers, J. (2016) <doi:10.1111/rssb.12114> and Einmahl, J.H.J., Kiriliouk, A., and Segers, J. (2018) <doi:10.1007/s10687-017-0303-7>.
Authors:
tailDepFun_1.0.1.tar.gz
tailDepFun_1.0.1.zip(r-4.5)tailDepFun_1.0.1.zip(r-4.4)tailDepFun_1.0.1.zip(r-4.3)
tailDepFun_1.0.1.tgz(r-4.4-x86_64)tailDepFun_1.0.1.tgz(r-4.4-arm64)tailDepFun_1.0.1.tgz(r-4.3-x86_64)tailDepFun_1.0.1.tgz(r-4.3-arm64)
tailDepFun_1.0.1.tar.gz(r-4.5-noble)tailDepFun_1.0.1.tar.gz(r-4.4-noble)
tailDepFun_1.0.1.tgz(r-4.4-emscripten)tailDepFun_1.0.1.tgz(r-4.3-emscripten)
tailDepFun.pdf |tailDepFun.html✨
tailDepFun/json (API)
# Install 'tailDepFun' in R: |
install.packages('tailDepFun', repos = c('https://akiriliouk.r-universe.dev', 'https://cloud.r-project.org')) |
- dataEUROSTOXX - EUROSTOXX50 weekly negative log-returns.
- dataKNMI - Wind speeds in the Netherlands.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:d9625211ef. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win-x86_64 | OK | Nov 03 2024 |
R-4.5-linux-x86_64 | OK | Nov 03 2024 |
R-4.4-win-x86_64 | OK | Nov 03 2024 |
R-4.4-mac-x86_64 | OK | Nov 03 2024 |
R-4.4-mac-aarch64 | OK | Nov 03 2024 |
R-4.3-win-x86_64 | OK | Nov 03 2024 |
R-4.3-mac-x86_64 | OK | Nov 03 2024 |
R-4.3-mac-aarch64 | OK | Nov 03 2024 |
Exports:AsymVarBRAsymVarGumbelAsymVarMaxLinearEstimationBREstimationGumbelEstimationMaxLinearselectGridstdfEmpstdfEmpCorrstdfEmpInt
Dependencies:ADGofTestcolorspacecopulacubaturedotCall64fieldsgsllatticemapsMatrixmvtnormnumDerivpcaPPpsplineRcppspamSpatialExtremesstabledistviridisLite
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Asymptotic variance matrix for the Brown-Resnick process. | AsymVarBR |
Asymptotic variance matrix for the Gumbel model. | AsymVarGumbel |
Asymptotic variance matrix for the max-linear model. | AsymVarMaxLinear |
EUROSTOXX50 weekly negative log-returns. | dataEUROSTOXX |
Wind speeds in the Netherlands. | dataKNMI |
Estimation of the parameters of the Brown-Resnick process | EstimationBR |
Estimation of the parameter of the Gumbel model | EstimationGumbel |
Estimation of the parameters of the max-linear model | EstimationMaxLinear |
Selects a grid of indices. | selectGrid |
Empirical stable tail dependence function | stdfEmp |
Bias-corrected empirical stable tail dependence function | stdfEmpCorr |
Integrated empirical stable tail dependence function | stdfEmpInt |
tailDepFun | tailDepFun |