Function reference • rvinecopulib

# Reference

## All functions
`as_rvine_structure()` `as_rvine_matrix()` | Coerce various kind of objects to R-vine structures and matrices
`bicop()` | Fit and select bivariate copula models
`bicop_dist()` | Bivariate copula models
`dbicop()` `pbicop()` `rbicop()` `hbicop()` | Bivariate copula distributions
`emp_cdf()` | Corrected Empirical CDF
`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_dist` and `vinecop_dist` objects
`mBICV()` | Modified vine copula Bayesian information criterion (mBICv)
`pairs_copula_data()` | Exploratory pairs plot for copula data
`par_to_ktau()` `ktau_to_par()` | Conversion between Kendall's tau and parameters
`plot(<bicop_dist>)` `plot(<bicop>)` `contour(<bicop_dist>)` `contour(<bicop>)` | Plotting tools for `bicop_dist` and `bicop` objects
`plot(<rvine_structure>)` `plot(<rvine_matrix>)` | Plotting R-vine structures
`plot(<vinecop_dist>)` `plot(<vinecop>)` `contour(<vinecop_dist>)` `contour(<vinecop>)` | Plotting `vinecop_dist` and `vinecop` objects.
`predict(<bicop_dist>)` `fitted(<bicop>)` | Predictions and fitted values for a bivariate copula model
`predict(<vine>)` `fitted(<vine>)` | Predictions and fitted values for a vine copula model
`predict(<vinecop>)` `fitted(<vinecop>)` | Predictions and fitted values for a vine copula model
`pseudo_obs()` | Pseudo-Observations
`rosenblatt()` `inverse_rosenblatt()` | (Inverse) Rosenblatt transform
`rvine_structure()` `cvine_structure()` `dvine_structure()` `rvine_matrix()` | R-vine structure
`rvine_structure_sim()` `rvine_matrix_sim()` | Simulate R-vine structures
`rvinecopulib` | High Performance Algorithms for Vine Copula Modeling
`truncate_model()` | Truncate a vine copula model
`vine()` `vine_dist()` | Vine copula models
`dvine()` `pvine()` `rvine()` | Vine based distributions
`vinecop()` | Fitting vine copula models
`vinecop_dist()` | Vine copula models
`dvinecop()` `pvinecop()` `rvinecop()` | Vine copula distributions