boot: Bootstrap

In quantmeth/pathanalysis: Recursive path modelling

Bootstrap

Description

A generic function to boostrap the desired statistics.

Usage

boot(data, FUN, alpha = 0.05, nrep = 5000, ...)

Arguments

data	The data sets.
FUN	A function comuting the desired statistics.
alpha	Type I error rate. Default is .05.
nrep	Number of repetitions for the boostrap. Default is 5000.
...	Optional arguments for FUN.

Value

Return the estimates computed by FUN, their standard error and their 100 * (1-\alpha)% confidence interval.

Examples

boot(data = rpois(n = 10, lambda = 5), FUN = median, nrep = 10)

quantmeth/pathanalysis documentation built on Aug. 6, 2023, 8:56 a.m.