predict.CopulaCLM: Prediction function

In GJRM: Generalised Joint Regression Modelling

Prediction function

Description

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.

Usage

## S3 method for class 'CopulaCLM'
predict(object, eq, type = "link", ...)

Arguments

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.

Author(s)

Maintainer: Giampiero Marra [e-mail]

See Also

gjrm

GJRM documentation built on Oct. 25, 2024, 5:07 p.m.