Methods for objects that are fitted to compute bootstrap confidence intervals.

```
# S3 method for bootstrapCI
plot(
x,
which = NULL,
pers = TRUE,
commonRange = TRUE,
showNumbers = FALSE,
showQuantiles = TRUE,
ask = TRUE,
probs = c(0.25, 0.5, 0.75),
ylim = NULL,
...
)
```# S3 method for bootstrapCI
print(x, ...)

x

an object of class `bootstrapCI`

.

which

base-learners that are plotted

pers

plot coefficient surfaces as persp-plots? Defaults to `TRUE`

.

commonRange,

plot predicted coefficients on a common range, defaults to `TRUE`

.

showNumbers

show number of curve in plot of predicted coefficients, defaults to `FALSE`

showQuantiles

plot the 0.05 and the 0.95 Quantile of coefficients in 1-dim effects.

ask

defaults to `TRUE`

, ask for next plot using `par(ask = ask)`

?

probs

vector of quantiles to be used in the plotting of 2-dimensional coefficients surfaces,
defaults to `probs = c(0.25, 0.5, 0.75)`

ylim

values for limits of y-axis

...

additional arguments passed to callies.

`plot.bootstrapCI`

plots the bootstrapped coefficients.