CRAN/E | fwb

fwb

Fractional Weighted Bootstrap

Installation

About

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.

github.com/ngreifer/fwb
ngreifer.github.io/fwb/
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 3.0.0
Published 2023-12-07 144 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks fwb results

Downloads

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Maintainer

Maintainer

Noah Greifer

noah.greifer@gmail.com

Authors

Noah Greifer

aut / cre

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fwb archive

Depends

R ≥ 3.0.0

Imports

rlang
chk
pbapply
stats
utils
graphics

Suggests

survival
boot
sandwich ≥ 2.4-0
lmtest
parallel

Reverse Suggests

marginaleffects