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 "bootSamples" with the
following components:
Ran integer giving the number of bootstrap
samples.
typea character string specifying the type of
bootstrap estimator.
groupingif 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.