LambertW (version 0.6.4)

bootstrap: Bootstrap Lambert W x F estimates

Description

Analyzes the Lambert W x F for a given dataset based on bootstrapping. Depends on the boot package and returns a "boot" object.

Usage

bootstrap(object, ...)
# S3 method for LambertW_fit
bootstrap(object, sample.size = length(object$data),
  R = 100, ...)

Arguments

object

an object of class "LambertW_fit"; usually output of IGMM or MLE_LambertW.

...

additional arguments passed to boot.

sample.size

sample size of the bootstrap. By default, equal to the original data length.

R

number of replicates for the bootstrap. See boot for details.

Value

An object of class "boot" representing the bootstrap analysis of \(\hat{\theta}\) (or \(\hat{\tau}\)) of an Lambert W x F estimator (LambertW_fit).

Examples

# NOT RUN {
yy <- rLambertW(n = 1000, theta = list(delta = c(0.1), beta = c(2, 1)), 
                distname = "normal")
mod.igmm <- IGMM(yy, type = "h")
boot.est <- bootstrap(mod.igmm, R = 100) 
# use summary and plot from 'boot' pkg
plot(boot.est, 3)
summary(boot.est)
# }