Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models

Estimates high-dimensional multivariate normal copula regression models with the weighted composite likelihood estimating equations in Nikoloulopoulos (2023) . It provides autoregressive moving average correlation structures and binary, ordinal, Poisson, and negative binomial regressions.