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plot.bootstrapCI

Methods for objects of class bootstrapCI


Description

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

Usage

## S3 method for class '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 class 'bootstrapCI'
print(x, ...)

Arguments

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.

Details

plot.bootstrapCI plots the bootstrapped coefficients.


FDboost

Boosting Functional Regression Models

v1.0-0
GPL-2
Authors
Sarah Brockhaus [aut], David Ruegamer [aut, cre], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Initial release
2020-08-31

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