bnstruct (version 1.0.15)

bootstrap: Perform bootstrap.

Description

Create a list of num.boots samples of the original dataset.

Usage

bootstrap(object, num.boots = 100, seed = 0, imputation = FALSE, k.impute = 10)
# S4 method for BNDataset
bootstrap(object, num.boots = 100, seed = 0, imputation = FALSE, k.impute = 10)

Arguments

object

the BNDataset object.

num.boots

number of sampled datasets for bootstrap.

seed

random seed.

imputation

TRUE if imputation has to be performed. Default is FALSE.

k.impute

number of neighbours to be used; for discrete variables we use mode, for continuous variables the median value is instead taken (useful only if imputation == TRUE).

Examples

if (FALSE) {
dataset <- BNDataset("file.data", "file.header")
dataset <- bootstrap(dataset, num.boots = 1000)
}