Fractional Weighted Bootstrap [R package fwb version 0.5.1]

Noah Greifer

fwb: Fractional Weighted Bootstrap

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.

Version: 0.5.1

Depends: R (≥ 4.0.0)

Imports: rlang (≥ 1.1.6), chk (≥ 0.10.0), pbapply (≥ 1.7-2), generics, graphics, stats, utils

Suggests: survival, cobalt, boot (≥ 1.3-31), mvtnorm (≥ 1.3-3), sandwich (≥ 2.4-0), ggdist (≥ 3.3.3), lmtest, nnet, parallel, future, future.apply, testthat (≥ 3.2.3), waldo (≥ 0.6.1), knitr, rmarkdown

Published: 2025年09月19日

DOI: 10.32614/CRAN.package.fwb

Author: Noah Greifer ORCID iD [aut, cre]

Maintainer: Noah Greifer <noah.greifer at gmail.com>

BugReports: https://github.com/ngreifer/fwb/issues

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://ngreifer.github.io/fwb/, https://github.com/ngreifer/fwb

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: fwb results

Documentation:

Reference manual: fwb.html , fwb.pdf

Vignettes: Reproducibility and Parallelization with 'fwb' (source)

Downloads:

Package source: fwb_0.5.1.tar.gz

Windows binaries: r-devel: fwb_0.5.1.zip, r-release: fwb_0.5.1.zip, r-oldrel: fwb_0.5.1.zip

macOS binaries: r-release (arm64): fwb_0.5.1.tgz, r-oldrel (arm64): fwb_0.5.1.tgz, r-release (x86_64): fwb_0.5.1.tgz, r-oldrel (x86_64): fwb_0.5.1.tgz

Old sources: fwb archive

Reverse dependencies:

Reverse imports: apm

Reverse suggests: insight, marginaleffects, optweight, WeightIt

Linking:

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