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

and
are normally not called by users.

```
# S3 method for factor
bootest(y, formula, data, model, predict, nboot=25,
bc632plus=FALSE, list.tindx = NULL, predictions = FALSE,
both.boot = FALSE, ...)
```

- 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`

.

See `errorest`

.