R: Bootstrap Error Rate Estimators

bootest {ipred} | R Documentation

## Bootstrap 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'
    bootest(y, formula, data, model, predict, nboot=25,
    bc632plus=FALSE, list.tindx = NULL, predictions = FALSE,
    both.boot = FALSE, ...)

### Arguments

`y` | the 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`.
`nboot` | number of bootstrap replications to be used.
`bc632plus` | logical. Should the bias corrected version of misclassification error be computed?
`predictions` | logical, return a matrix of predictions. The ith column contains predictions of the ith out-of-bootstrap sample and 'NA's corresponding to the ith bootstrap sample.
`list.tindx` | list of numeric vectors, indicating which observations are included in each bootstrap sample.
`both.boot` | logical, return both (bootstrap and 632plus) estimations or only one of them.
`...` | additional arguments to `model`.

### Details

See `errorest`.

[Package ipred version 0.9-9 Index]