Prediction function
It takes a fitted gjrm object for the ordinal-continuous case and, for each equation, produces predictions for a new set of values of the model covariates or the original values used for the model fit. Standard errors of predictions can be produced and are based on the posterior distribution of the model coefficients.
## S3 method for class 'CopulaCLM' predict(object, eq, type = "link", ...)
object: A fitted gjrm object.eq: The equation to be considered for prediction.type: Type of prediction....: Other arguments as in predict.gam() in mgcv.Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
gjrm