Package: VineCopula 2.5.2
VineCopula: Statistical Inference of Vine Copulas
Provides tools for the statistical analysis of regular vine copula models, see Aas et al. (2009) <doi:10.1016/j.insmatheco.2007.02.001> and Dissman et al. (2013) <doi:10.1016/j.csda.2012.08.010>. The package includes tools for parameter estimation, model selection, simulation, goodness-of-fit tests, and visualization. Tools for estimation, selection and exploratory data analysis of bivariate copula models are also provided.
Authors:
VineCopula_2.5.2.tar.gz
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VineCopula_2.5.2.tgz(r-4.4-x86_64)VineCopula_2.5.2.tgz(r-4.4-arm64)VineCopula_2.5.2.tgz(r-4.3-x86_64)VineCopula_2.5.2.tgz(r-4.3-arm64)
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VineCopula.pdf |VineCopula.html✨
VineCopula/json (API)
NEWS
# Install 'VineCopula' in R: |
install.packages('VineCopula', repos = c('https://tnagler.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tnagler/vinecopula/issues
- daxreturns - Major German Stocks
copulaestimationstatisticsvine
Last updated 9 days agofrom:5f101f722a. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win-x86_64 | OK | Nov 12 2024 |
R-4.5-linux-x86_64 | OK | Nov 12 2024 |
R-4.4-win-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-aarch64 | OK | Nov 12 2024 |
R-4.3-win-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-aarch64 | OK | Nov 12 2024 |
Exports:as.copuladataBB1CopulaBB6CopulaBB7CopulaBB8CopulaBetaMatrixBiCopBiCopCDFBiCopCheckBiCopChiPlotBiCopCompareBiCopCondSimBiCopDerivBiCopDeriv2BiCopEstBiCopEstListBiCopGofTestBiCopHfuncBiCopHfunc1BiCopHfunc2BiCopHfuncDerivBiCopHfuncDeriv2BiCopHinvBiCopHinv1BiCopHinv2BiCopIndTestBiCopKDEBiCopKPlotBiCopLambdaBiCopMetaContourBiCopNameBiCopPar2BetaBiCopPar2TailDepBiCopPar2TauBiCopPDFBiCopSelectBiCopSimBiCopTau2ParBiCopVuongClarkeC2RVinecopulaFromFamilyIndexD2RVineEmpCDFjoeBiCopulapairs.copuladatapobsr270BB1Copular270BB6Copular270BB7Copular270BB8Copular270ClaytonCopular270GumbelCopular270JoeBiCopular270TawnT1Copular270TawnT2Copular90BB1Copular90BB6Copular90BB7Copular90BB8Copular90ClaytonCopular90GumbelCopular90JoeBiCopular90TawnT1Copular90TawnT2CopulaRVineAICRVineBICRVineCDFRVineClarkeTestRVineCopSelectRVineCor2pcorRVineGofTestRVineGradRVineHessianRVineLogLikRVineMatrixRVineMatrixCheckRVineMatrixNormalizeRVineMatrixSampleRVineMLERVinePar2BetaRVinePar2TauRVinePcor2corRVinePDFRVinePITRVineSeqEstRVineSimRVineStdErrorRVineStructureSelectRVineTreePlotRVineVuongTestsurBB1CopulasurBB6CopulasurBB7CopulasurBB8CopulasurClaytonCopulasurGumbelCopulasurJoeBiCopulasurTawnT1CopulasurTawnT2CopulaTauMatrixtawnT1CopulatawnT2CopulavineCopula
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Statistical Inference of Vine Copulas | VineCopula-package VineCopula |
Copula Data Objects | as.copuladata as.copuladata.data.frame as.copuladata.list as.copuladata.matrix |
Matrix of Empirical Blomqvist's Beta Values | BetaMatrix |
Constructing BiCop-objects | BiCop |
Distribution Function of a Bivariate Copula | BiCopCDF |
Check for family/parameter consistency in bivariate copula models | BiCopCheck |
Chi-plot for Bivariate Copula Data | BiCopChiPlot |
Shiny app for bivariate copula selection | BiCopCompare |
Conditional simulation from a Bivariate Copula | BiCopCondSim |
Derivatives of a Bivariate Copula Density | BiCopDeriv |
Second Derivatives of a Bivariate Copula Density | BiCopDeriv2 |
Parameter Estimation for Bivariate Copula Data | BiCopEst |
List of Maximum Likelihood Estimates for Several Bivariate Copula Families | BiCopEstList |
Goodness-of-Fit Test for Bivariate Copulas | BiCopGofTest |
Conditional Distribution Function of a Bivariate Copula | BiCopHfunc BiCopHfunc1 BiCopHfunc2 |
Derivatives of the h-Function of a Bivariate Copula | BiCopHfuncDeriv |
Second Derivatives of the h-Function of a Bivariate Copula | BiCopHfuncDeriv2 |
Inverse Conditional Distribution Function of a Bivariate Copula | BiCopHinv BiCopHinv1 BiCopHinv2 |
Independence Test for Bivariate Copula Data | BiCopIndTest |
Kernel estimate of a Bivariate Copula Density | BiCopKDE |
Kendall's Plot for Bivariate Copula Data | BiCopKPlot |
Lambda-Function (Plot) for Bivariate Copula Data | BiCopLambda |
Contour Plot of Bivariate Meta Distribution | BiCopMetaContour |
Bivariate Copula Family Names | BiCopName |
Blomqvist's Beta Value of a Bivariate Copula | BiCopPar2Beta |
Tail Dependence Coefficients of a Bivariate Copula | BiCopPar2TailDep |
Kendall's Tau Value of a Bivariate Copula | BiCopPar2Tau |
Density of a Bivariate Copula | BiCopPDF |
Selection and Maximum Likelihood Estimation of Bivariate Copula Families | BiCopSelect |
Simulation from a Bivariate Copula | BiCopSim |
Parameter of a Bivariate Copula for a given Kendall's Tau Value | BiCopTau2Par |
Scoring Goodness-of-Fit Test based on Vuong And Clarke Tests for Bivariate Copula Data | BiCopVuongClarke |
Transform C-Vine to R-Vine Structure | C2RVine |
Plotting 'RVineMatrix' objects. | contour.RVineMatrix plot.RVineMatrix |
Transform D-Vine to R-Vine Structure | D2RVine |
Major German Stocks | daxreturns |
Corrected Empirical CDF | EmpCDF |
Pairs Plot of Copula Data | pairs.copuladata |
Plotting tools for BiCop objects | contour.BiCop plot.BiCop |
Pseudo-Observations | pobs |
AIC and BIC of an R-Vine Copula Model | RVineAIC RVineBIC |
CDF of an R-Vine Copula Model | RVineCDF |
Clarke Test Comparing Two R-Vine Copula Models | RVineClarkeTest |
Sequential Pair-Copula Selection and Estimation for R-Vine Copula Models | RVineCopSelect |
(Partial) Correlations for R-Vine Copula Models | RVineCor2pcor RVinePcor2cor |
Goodness-of-Fit Tests for R-Vine Copula Models | RVineGofTest |
Gradient of the Log-Likelihood of an R-Vine Copula Model | RVineGrad |
Hessian Matrix of the Log-Likelihood of an R-Vine Copula Model | RVineHessian |
Log-Likelihood of an R-Vine Copula Model | RVineLogLik |
R-Vine Copula Model in Matrix Notation | RVineMatrix |
R-Vine Matrix Check | RVineMatrixCheck |
Normalization of R-Vine Matrix | RVineMatrixNormalize |
Random sampling of R-Vine matrices | RVineMatrixSample |
Maximum Likelihood Estimation of an R-Vine Copula Model | RVineMLE |
Blomqvist's Beta Values of an R-Vine Copula Model | RVinePar2Beta |
Kendall's Tau Values of an R-Vine Copula Model | RVinePar2Tau |
PDF of an R-Vine Copula Model | RVinePDF |
Probability Integral Transformation for R-Vine Copula Models | RVinePIT |
Sequential Estimation of an R-Vine Copula Model | RVineSeqEst |
Simulation from an R-Vine Copula Model | RVineSim |
Standard Errors of an R-Vine Copula Model | RVineStdError |
Sequential Specification of R- and C-Vine Copula Models | RVineStructureSelect |
Visualization of R-Vine Tree Structure | RVineTreePlot |
Vuong Test Comparing Two R-Vine Copula Models | RVineVuongTest |
Matrix of Empirical Kendall's Tau Values | TauMatrix |
Deprecated | B8Copula-class BB1Copula BB1Copula-class BB6Copula BB6Copula-class BB7Copula BB7Copula-class BB8Copula BB8Copula-class BBB8Copula copulaFromFamilyIndex dduCopula,matrix,BB1Copula-method dduCopula,matrix,BB6Copula-method dduCopula,matrix,BB7Copula-method dduCopula,matrix,BB8Copula-method dduCopula,matrix,joeBiCopula-method dduCopula,matrix,r270BB1Copula-method dduCopula,matrix,r270BB6Copula-method dduCopula,matrix,r270BB7Copula-method dduCopula,matrix,r270BB8Copula-method dduCopula,matrix,r270ClaytonCopula-method dduCopula,matrix,r270GumbelCopula-method dduCopula,matrix,r270JoeBiCopula-method dduCopula,matrix,r270TawnT1Copula-method dduCopula,matrix,r270TawnT2Copula-method dduCopula,matrix,r90BB1Copula-method dduCopula,matrix,r90BB6Copula-method dduCopula,matrix,r90BB7Copula-method dduCopula,matrix,r90BB8Copula-method dduCopula,matrix,r90ClaytonCopula-method dduCopula,matrix,r90GumbelCopula-method dduCopula,matrix,r90JoeBiCopula-method dduCopula,matrix,r90TawnT1Copula-method dduCopula,matrix,r90TawnT2Copula-method dduCopula,matrix,surBB1Copula-method dduCopula,matrix,surBB6Copula-method dduCopula,matrix,surBB7Copula-method dduCopula,matrix,surBB8Copula-method dduCopula,matrix,surClaytonCopula-method dduCopula,matrix,surGumbelCopula-method dduCopula,matrix,surJoeBiCopula-method dduCopula,matrix,surTawnT1Copula-method dduCopula,matrix,surTawnT2Copula-method dduCopula,matrix,tawnT1Copula-method dduCopula,matrix,tawnT2Copula-method dduCopula,numeric,BB1Copula-method dduCopula,numeric,BB6Copula-method dduCopula,numeric,BB7Copula-method dduCopula,numeric,BB8Copula-method dduCopula,numeric,joeBiCopula-method dduCopula,numeric,r270BB1Copula-method dduCopula,numeric,r270BB6Copula-method dduCopula,numeric,r270BB7Copula-method dduCopula,numeric,r270BB8Copula-method dduCopula,numeric,r270ClaytonCopula-method dduCopula,numeric,r270GumbelCopula-method dduCopula,numeric,r270JoeBiCopula-method dduCopula,numeric,r270TawnT1Copula-method dduCopula,numeric,r270TawnT2Copula-method dduCopula,numeric,r90BB1Copula-method dduCopula,numeric,r90BB6Copula-method dduCopula,numeric,r90BB7Copula-method dduCopula,numeric,r90BB8Copula-method dduCopula,numeric,r90ClaytonCopula-method dduCopula,numeric,r90GumbelCopula-method dduCopula,numeric,r90JoeBiCopula-method dduCopula,numeric,r90TawnT1Copula-method dduCopula,numeric,r90TawnT2Copula-method dduCopula,numeric,surBB1Copula-method dduCopula,numeric,surBB6Copula-method dduCopula,numeric,surBB7Copula-method dduCopula,numeric,surBB8Copula-method dduCopula,numeric,surClaytonCopula-method dduCopula,numeric,surGumbelCopula-method dduCopula,numeric,surJoeBiCopula-method dduCopula,numeric,surTawnT1Copula-method dduCopula,numeric,surTawnT2Copula-method dduCopula,numeric,tawnT1Copula-method dduCopula,numeric,tawnT2Copula-method ddvCopula,matrix,BB1Copula-method ddvCopula,matrix,BB6Copula-method ddvCopula,matrix,BB7Copula-method ddvCopula,matrix,BB8Copula-method ddvCopula,matrix,joeBiCopula-method ddvCopula,matrix,r270BB1Copula-method ddvCopula,matrix,r270BB6Copula-method ddvCopula,matrix,r270BB7Copula-method ddvCopula,matrix,r270BB8Copula-method ddvCopula,matrix,r270ClaytonCopula-method ddvCopula,matrix,r270GumbelCopula-method ddvCopula,matrix,r270JoeBiCopula-method ddvCopula,matrix,r270TawnT1Copula-method ddvCopula,matrix,r270TawnT2Copula-method ddvCopula,matrix,r90BB1Copula-method ddvCopula,matrix,r90BB6Copula-method ddvCopula,matrix,r90BB7Copula-method ddvCopula,matrix,r90BB8Copula-method ddvCopula,matrix,r90ClaytonCopula-method ddvCopula,matrix,r90GumbelCopula-method ddvCopula,matrix,r90JoeBiCopula-method ddvCopula,matrix,r90TawnT1Copula-method ddvCopula,matrix,r90TawnT2Copula-method ddvCopula,matrix,surBB1Copula-method ddvCopula,matrix,surBB6Copula-method ddvCopula,matrix,surBB7Copula-method ddvCopula,matrix,surBB8Copula-method ddvCopula,matrix,surClaytonCopula-method ddvCopula,matrix,surGumbelCopula-method ddvCopula,matrix,surJoeBiCopula-method ddvCopula,matrix,surTawnT1Copula-method ddvCopula,matrix,surTawnT2Copula-method ddvCopula,matrix,tawnT1Copula-method ddvCopula,matrix,tawnT2Copula-method ddvCopula,numeric,BB1Copula-method ddvCopula,numeric,BB6Copula-method ddvCopula,numeric,BB7Copula-method ddvCopula,numeric,BB8Copula-method ddvCopula,numeric,joeBiCopula-method ddvCopula,numeric,r270BB1Copula-method ddvCopula,numeric,r270BB6Copula-method ddvCopula,numeric,r270BB7Copula-method ddvCopula,numeric,r270BB8Copula-method ddvCopula,numeric,r270ClaytonCopula-method ddvCopula,numeric,r270GumbelCopula-method ddvCopula,numeric,r270JoeBiCopula-method ddvCopula,numeric,r270TawnT1Copula-method ddvCopula,numeric,r270TawnT2Copula-method ddvCopula,numeric,r90BB1Copula-method ddvCopula,numeric,r90BB6Copula-method ddvCopula,numeric,r90BB7Copula-method ddvCopula,numeric,r90BB8Copula-method ddvCopula,numeric,r90ClaytonCopula-method ddvCopula,numeric,r90GumbelCopula-method ddvCopula,numeric,r90JoeBiCopula-method ddvCopula,numeric,r90TawnT1Copula-method ddvCopula,numeric,r90TawnT2Copula-method ddvCopula,numeric,surBB1Copula-method ddvCopula,numeric,surBB6Copula-method ddvCopula,numeric,surBB7Copula-method ddvCopula,numeric,surBB8Copula-method ddvCopula,numeric,surClaytonCopula-method ddvCopula,numeric,surGumbelCopula-method ddvCopula,numeric,surJoeBiCopula-method ddvCopula,numeric,surTawnT1Copula-method ddvCopula,numeric,surTawnT2Copula-method ddvCopula,numeric,tawnT1Copula-method ddvCopula,numeric,tawnT2Copula-method fitCopula getKendallDistr,BB1Copula-method getKendallDistr,BB6Copula-method getKendallDistr,BB7Copula-method getKendallDistr,BB8Copula-method getKendallDistr,joeBiCopula-method joeBiCopula joeBiCopula-class kendallDistribution,BB1Copula-method kendallDistribution,BB6Copula-method kendallDistribution,BB7Copula-method kendallDistribution,BB8Copula-method kendallDistribution,joeBiCopula-method r270BB1Copula r270BB1Copula-class r270BB6Copula r270BB6Copula-class r270BB7Copula r270BB7Copula-class r270BB8Copula r270BB8Copula-class r270ClaytonCopula r270ClaytonCopula-class r270GumbelCopula r270GumbelCopula-class r270JoeBiCopula r270JoeBiCopula-class r270TawnT1Copula r270TawnT1Copula-class r270TawnT2Copula r270TawnT2Copula-class r90BB1Copula r90BB1Copula-class r90BB6Copula r90BB6Copula-class r90BB7Copula r90BB7Copula-class r90BB8Copula r90BB8Copula-class r90ClaytonCopula r90ClaytonCopula-class r90GumbelCopula r90GumbelCopula-class r90JoeBiCopula r90JoeBiCopula-class r90TawnT1Copula r90TawnT1Copula-class r90TawnT2Copula r90TawnT2Copula-class surBB1Copula surBB1Copula-class surBB6Copula surBB6Copula-class surBB7Copula surBB7Copula-class surBB8Copula surBB8Copula-class surClaytonCopula surClaytonCopula-class surGumbelCopula surGumbelCopula-class surJoeBiCopula surJoeBiCopula-class surTawnT1Copula surTawnT1Copula-class surTawnT2Copula surTawnT2Copula-class tawnT1Copula tawnT1Copula-class tawnT2Copula tawnT2Copula-class VC2copula-deprecated vineCopula vineCopula-class vineCopula-method |