CopulaRegression-package
                        Bivariate copula-based regression models
D_u                     H-function of the copula
copreg                  Joint, copula-based regression model
density_conditional     Conditional density of Y given X
density_joint           Joint density of X and Y
dgam                    Density of a Gamma variable
dpolicy_loss            Density of the policy loss
dztp                    Density of a zero truncated Poisson variable
epolicy_loss            Expectation of the policy loss
loglik_joint            Loglikelihood of the joint regression model
mle_joint               ML-Estimates of the joint model.
mle_marginal            ML-estimates of the marginal models
pgam                    Distribution of a Gamma variable
ppolicy_loss            Cumaltive distribution function of the policy
                        loss
predict.copreg          Prediction of the copula regression model
pztp                    Cumulative distribution function of a zero
                        truncated Poisson variable
qpolicy_loss            Quantile of the policy loss
rgam                    Samples from a Gamma variable
simulate_joint          Simulation from the joint model
simulate_regression_data
                        Simulate regression data
theta2z                 Transformation of the copula parameter
vuongtest               Model comparison using a Vuong test
z2theta                 Inverse of the parameter transformation
ztp.glm                 GLM for a zero truncated Poisson variable
