R: Drawing bootstrapped cross-validation curves and the .632 or...

Special {pec} | R Documentation

## 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`.

### Details

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

### Value

Invisible object.

### See Also

`plot.pec`

[Package pec version 2019.11.03 Index]