R: Cross-validated Error Rate Estimators.

cv {ipred} | R Documentation

## Cross-validated Error Rate Estimators.

### Description

Those functions are low-level functions used by `errorest` and are normally not called by users.

### Usage

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

### Arguments

`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`.

### Details

See `errorest`.

[Package ipred version 0.9-9 Index]