vis.gjrm: Visualization function

In GJRM: Generalised Joint Regression Modelling

Visualization function

Description

It takes a fitted gjrm object produced by gjrm() and produces perspective or contour plot views of model predictions. This function is a wrapper of vis.gam() in mgcv. Please see the documentation of vis.gam() for full details.

Usage

vis.gjrm(x, eq, fun = NULL, ...)

Arguments

x	A fitted gjrm object.
eq	The equation number.
fun	Either mean or variance. If left as equal to NULL then predictions on the scale of the predictor will be produced.
...	Other graphics parameters to pass on to plotting commands, as described for vis.gam() in mgcv.

Value

The function generates plots.

Author(s)

Maintainer: Giampiero Marra [e-mail]

See Also

gjrm

GJRM documentation built on July 9, 2023, 7:15 p.m.