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, ...)
an object of class
base-learners that are plotted
plot coefficient surfaces as persp-plots? Defaults to
plot predicted coefficients on a common range, defaults to
show number of curve in plot of predicted coefficients, defaults to
plot the 0.05 and the 0.95 Quantile of coefficients in 1-dim effects.
TRUE, ask for next plot using
par(ask = ask)?
vector of quantiles to be used in the plotting of 2-dimensional coefficients surfaces,
probs = c(0.25, 0.5, 0.75)
values for limits of y-axis
additional arguments passed to callies.
plot.bootstrapCI plots the bootstrapped coefficients.