bootstrap {structToolbox} | R Documentation

## Bootstrap resampling

### Description

In bootstrap resampling a subset of samples is selected at random with replacement to form a training set. Any sample not selected for training is included in the test set. This process is repeated many times, and performance metrics are computed for each repetition.

### Usage

    bootstrap(number_of_repetitions = 100, collect, ...)

### Arguments

`number_of_repetitions` | (numeric, integer) The number of bootstrap repetitions. The default is `100`.
`collect` | (character) The name of a model output to collect over all bootstrap repetitions, in addition to the input metric.
`...` | Additional slots and values passed to `struct_class`.

### Value

A `bootstrap` object with the following `output` slots:

`results` | (data.frame)
`metric` | (data.frame)
`collected` | (logical, list)

### Examples

    I = bootstrap(number_of_repetitions = 10, collect = 'vip')

[Package structToolbox version 1.6.1 Index]