Plot method for deep conditional transformation models
# S3 method for deeptrafo
plot(
x,
which = NULL,
type = c("smooth", "trafo", "pdf", "cdf"),
newdata = NULL,
which_param = c("shifting", "interacting"),
only_data = FALSE,
K = 40,
q = NULL,
...
)Object of class "deeptrafo".
Which effect to plot, default selects all smooth effects in the shift term.
Character; One of "smooth", "trafo", "pdf", or "cdf".
Optional new data (list or data.frame) to
evaluate predictions at. If the response is missing, plots are generated
on a grid of length K
Character; either "interacting" or "shifting".
Logical, if TRUE, only the data for plotting is returned.
Integer; If type == "smooth" the length of an equidistant
grid at which a two-dimensional function is evaluated for plotting.
Otherwise, length of the grid to evaluate predictions at,
see newdata.
Vector of response values to compute predictions at, see newdata
Further arguments, passed to fit, plot or predict function