control.errorest {ipred} | 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 `TRUE` , cross-validation is performed
using stratified sampling (for classification problems). |

`random` |
logical, if `TRUE` , cross-validation is performed using
a random ordering of the data. |

`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.

[Package *ipred* version 0.8-1 Index]