control.errorest | R Documentation |

Some parameters that control the behaviour of `errorest`

.

control.errorest(k = 10, nboot = 25, strat = FALSE, random = TRUE, predictions = FALSE, getmodels=FALSE, list.tindx = NULL)

`k` |
integer, specify $k$ for $k$-fold cross-validation. |

`nboot` |
integer, number of bootstrap replications. |

`strat` |
logical, if |

`random` |
logical, if |

`predictions` |
logical, indicates whether the prediction for each observation should be returned or not (classification and regression only). For a bootstrap based estimator a matrix of size 'number of observations' times nboot is returned with predicted values of the ith out-of-bootstrap sample in column i and 'NA's for those observations not included in the ith out-of-bootstrap sample. |

`getmodels` |
logical, indicates a list of all models should be returned. For cross-validation only. |

`list.tindx` |
list of numeric vectors, indicating which observations are included in each bootstrap or cross-validation sample, respectively. |

A list with the same components as arguments.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.