control.errorest

integer, specify $k$ for $k$-fold cross-validation.

integer, number of bootstrap replications.

nboot

logical, if <code>TRUE</code>, cross-validation is performed 
               using stratified sampling (for classification problems).

strat

logical, if <code>TRUE</code>, cross-validation is performed using
                a random ordering of the data.

random

logical, indicates whether the prediction
                     for each observation should be returned or not
                     (classification and regression only).

predictions

Some parameters that control the behaviour of <code><a href="/link/errorest?package=ipred&version=0.6-14" rd-options="" data-mini-rdoc="ipred::errorest">errorest</a></code>.

misc

Improved predictive models by indirect classification and
  bagging for classification, regression and survival problems 
  as well as resampling based estimators of prediction error. 

control.errorest: Control Error Rate Estimators

Description

Usage

Arguments

Value