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.
vis.gjrm(x, eq, fun = NULL, ...)
The function generates plots.
A fitted gjrm
object.
The equation number.
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
.
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
gjrm