Generate an object that controls how to draw bootstrap samples and which
bootstrap estimator of prediction error to compute.
Usage
bootControl(R = 1, type = c("0.632", "out-of-bag"), grouping = NULL)
Arguments
R
an integer giving the number of bootstrap samples.
type
a character string specifying a bootstrap estimator. Possible
values are "0.632" (the default), or "out-of-bag".
grouping
a factor specifying groups of observations.
Value
An object of class "bootControl" with the following
components:
R
an integer giving the number of bootstrap samples.
type
a character string specifying the type of bootstrap
estimator.
grouping
if supplied, a factor specifying groups of
observations. The groups will then be resampled rather than individual
observations such that all observations within a group belong either to the
bootstrap sample or the test data.
References
Efron, B. (1983) Estimating the error rate of a prediction rule: improvement
on cross-validation. Journal of the American Statistical
Association, 78(382), 316--331.