Required packages | Plot function for marginal effects | Data preparation | Load data | Rename variables | Un-normalize variables | Show trend | Remove trend | Drop useless variables | Declare discrete variables as ordered | D-vine regression model | Fit model | In-sample predictions | Marginal effects

Load required packages | Data analysis | Load and clean data | D-vine regression models | Parametric D-vine quantile regression | Estimation of corresponding conditional quantiles | Comparison to the benchmark model: linear quantile regression | Nonparametric D-vine quantile regression | Discrete D-vine quantile regression | References

Model layers | Fitting a continuous model | Simulation and diagnostics | Discrete variables | Copula-only models

Introduction | Thread safe communication with R | An R-friendly thread class | Parallel abstractions | Using the RcppThread package in other projects | Benchmarks

Introduction | Kernel estimators of the copula density: a review | The package's functionality | Implementation based on spline interpolation | Comparison of methods | Summary and extensions