pec (version 2020.11.17)

Special: Drawing bootstrapped cross-validation curves and the .632 or .632plus error of models. The prediction error for an optional benchmark model can be added together with bootstrapped cross-validation error and apparent errors.

Description

This function is invoked and controlled by plot.pec.

Usage

Special(
  x,
  y,
  addprederr,
  models,
  bench,
  benchcol,
  times,
  maxboot,
  bootcol,
  col,
  lty,
  lwd
)

Arguments

x

an object of class 'pec' as returned by the pec function.

y

Prediction error values.

addprederr

Additional prediction errors. The options are bootstrap cross-validation errors or apparent errors.

models

One model also specified in pec for which the predErr in plot.pec is to be drawn.

bench

A benchmark model (also specified in pec) for which the predErr in plot.pec is to be drawn.

benchcol

Color of the benchmark curve.

times

Time points at which the curves must be plotted.

maxboot

Maximum number of bootstrap curves to be added. Default is all.

bootcol

Color of the bootstrapped curves. Default is 'gray77'.

col

Color of the different error curves for models.

lty

Line type of the different error curves for models.

lwd

Line width of the different error curves for models.

Value

Invisible object.

Details

This function should not be called directly. The arguments can be specified as Special.arg in the call to plot.pec.

See Also

plot.pec