cv {ipred} | R Documentation |

Those functions are low-level functions used by `errorest`

and
are normally not called by users.

## S3 method for class 'factor': cv(y, formula, data, model, predict, k=10, random=TRUE, strat=FALSE, predictions=NULL, getmodels=NULL, list.tindx = NULL, ...)

`y` |
response variable, either of class `factor`
(classification), `numeric` (regression) or `Surv` (survival). |

`formula` |
a formula object. |

`data` |
data frame of predictors and response described in `formula` . |

`model` |
a function implementing the predictive model to be
evaluated. The function `model` can either return an
object representing a fitted model or a function with
argument `newdata` which returns predicted values. In
this case, the `predict` argument to `errorest` is
ignored. |

`predict` |
a function with arguments `object` and `newdata`
only which predicts the status of the observations in `newdata` based
on the fitted model in `object` . |

`k` |
k-fold cross-validation. |

`random` |
logical, indicates whether a random order or the given
order of the data should be used for sample splitting or not, defaults to
`TRUE` . |

`strat` |
logical, stratified sampling or not, defaults to `FALSE` . |

`predictions` |
logical, return the prediction of each observation. |

`getmodels` |
logical, return a list of models for each fold. |

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

`...` |
additional arguments to `model` . |

See `errorest`

.

Torsten.Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>

[Package *ipred* version 0.8-1 Index]