as.bicop                Convert list to bicop object
as_margin               Normalize an object to the fitted-margin
                        protocol
as_rvine_structure      Coerce various kind of objects to R-vine
                        structures and matrices
bicop                   Fit and select bivariate copula models
bicop_dependence        Dependence measures of a bivariate copula
bicop_dist              Bivariate copula models
bicop_distributions     Bivariate copula distributions
bicop_predict_and_fitted
                        Predictions and fitted values for a bivariate
                        copula model
emp_cdf                 Corrected Empirical CDF
getters                 Extracts components of 'bicop_dist' and
                        'vinecop_dist' objects
kde1d_family            Define a kde1d margin family
mBICV                   Modified vine copula Bayesian information
                        criterion (mBICv)
margin_dist             Create a fitted or fixed custom margin
margin_family           Define a custom margin family
margin_family_protocol
                        Margin-family fitting protocol
margin_protocol         Fitted marginal distribution protocol
pairs_copula_data       Exploratory pairs plot for copula data
par_to_ktau             Conversion between Kendall's tau and parameters
parameter_uncertainty   Parameter uncertainty
plot.bicop_dist         Plotting tools for 'bicop_dist' and 'bicop'
                        objects
plot.rvine_structure    Plotting R-vine structures
plot.vinecop_dist       Plotting 'vinecop_dist' and 'vinecop' objects.
pseudo_obs              Pseudo-Observations
rosenblatt              Rosenblatt and inverse Rosenblatt transforms
rvine_structure         R-vine structure
rvine_structure_sim     Simulate R-vine structures
rvinecopulib            High Performance Algorithms for Vine Copula
                        Modeling
stats_margin            Create a fixed margin from a stats distribution
truncate_model          Truncate a vine copula model
univariateML_family     Define a univariateML margin family
vine                    Vine copula models
vine_distributions      Vine based distributions
vine_predict_and_fitted
                        Predictions and fitted values for a vine copula
                        model
vinecop                 Fitting vine copula models
vinecop_dist            Vine copula models
vinecop_distributions   Vine copula distributions
vinecop_predict_and_fitted
                        Predictions and fitted values for a vine copula
                        model
zero_inflated           Declare zero-inflated data
