Package index
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vine()vine_dist() - Vine copula models
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dvine()pvine()rvine() - Vine based distributions
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predict(<vine>)fitted(<vine>) - Predictions and fitted values for a vine copula model
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as_margin() - Normalize an object to the fitted-margin protocol
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margin_dist() - Create a fitted or fixed custom margin
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stats_margin() - Create a fixed margin from a stats distribution
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margin_family() - Define a custom margin family
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kde1d_family() - Define a kde1d margin family
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univariateML_family() - Define a univariateML margin family
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dmargin()pmargin()qmargin()margin_info() - Fitted marginal distribution protocol
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fit_margin() - Margin-family fitting protocol
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zero_inflated() - Declare zero-inflated data
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vinecop() - Fitting vine copula models
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vinecop_dist() - Vine copula models
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dvinecop()scores()hessian()pvinecop()rvinecop() - Vine copula distributions
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predict(<vinecop>)fitted(<vinecop>) - Predictions and fitted values for a vine copula model
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rosenblatt()inverse_rosenblatt() - Rosenblatt and inverse Rosenblatt transforms
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truncate_model() - Truncate a vine copula model
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mBICV() - Modified vine copula Bayesian information criterion (mBICv)
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vcov(<vinecop_dist>)vcov(<bicop_dist>)confint(<vinecop_dist>)confint(<bicop_dist>) - Parameter uncertainty
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bicop() - Fit and select bivariate copula models
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bicop_dist() - Bivariate copula models
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dbicop()pbicop()rbicop()scores(<bicop_dist>)hessian(<bicop_dist>)hbicop() - Bivariate copula distributions
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tail_dep()blomqvist_beta() - Dependence measures of a bivariate copula
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predict(<bicop_dist>)fitted(<bicop>) - Predictions and fitted values for a bivariate copula model
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plot(<bicop_dist>)plot(<bicop>)contour(<bicop_dist>)contour(<bicop>) - Plotting tools for
bicop_distandbicopobjects -
par_to_ktau()ktau_to_par() - Conversion between Kendall's tau and parameters
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as.bicop() - Convert list to bicop object
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rvine_structure()cvine_structure()dvine_structure()rvine_matrix() - R-vine structure
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as_rvine_structure()as_rvine_matrix() - Coerce various kind of objects to R-vine structures and matrices
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rvine_structure_sim()rvine_matrix_sim() - Simulate R-vine structures
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plot(<rvine_structure>)plot(<rvine_matrix>) - Plotting R-vine structures
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get_structure()get_pair_copula()get_parameters()get_ktau()get_family()get_all_pair_copulas()get_all_parameters()get_all_ktaus()get_all_families() - Extracts components of
bicop_distandvinecop_distobjects
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pseudo_obs() - Pseudo-Observations
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emp_cdf() - Corrected Empirical CDF
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pairs_copula_data() - Exploratory pairs plot for copula data
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plot(<vinecop_dist>)plot(<vinecop>)contour(<vinecop_dist>)contour(<vinecop>) - Plotting
vinecop_distandvinecopobjects.
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rvinecopulib-packagervinecopulib - High Performance Algorithms for Vine Copula Modeling