control.errorest {ipred} | R Documentation |
Control Error Rate Estimators
Description
Some parameters that control the behaviour of errorest
.
Usage
control.errorest(k = 10, nboot = 25, strat = FALSE, random = TRUE,
predictions = FALSE, getmodels=FALSE, list.tindx = NULL)
Arguments
k |
integer, specify $k$ for $k$-fold cross-validation. |
nboot |
integer, number of bootstrap replications. |
strat |
logical, if |
random |
logical, if |
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. |
Value
A list with the same components as arguments.