control.errorest: Control Error Rate Estimators
In ipred: Improved Predictors

control.errorest

R Documentation

Control Error Rate Estimators

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.