fwb0.5.1 package

Fractional Weighted Bootstrap

fwb-package

fwb: Fractional Weighted Bootstrap

fwb.array

Recover Bootstrap Weights

fwb.ci

Fractional Weighted Bootstrap Confidence Intervals

fwb

Fractional Weighted Bootstrap

get_ci

Extract Confidence Intervals from a bootci Object

plot.fwb

Plots of the Output of a Fractional Weighted Bootstrap

set_fwb_wtype

Set weights type

summary.fwb

Summarize fwb Output

vcovFWB

Fractional Weighted Bootstrap Covariance Matrix Estimation

w_mean

Calculate weighted statistics

Download source packageRead PDF manual

An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.

  • Maintainer: Noah Greifer
  • License: GPL (>= 2)
  • Last published: 2025-09-19

Useful links