Some parameters that control the behaviour of `errorest`

.

1 2 |

`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.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.