Package: fwb 0.3.0.9000

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.

Authors:Noah Greifer [aut, cre]

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fwb.pdf |fwb.html✨
fwb/json (API)
NEWS

# Install 'fwb' in R:
install.packages('fwb', repos = c('https://ngreifer.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ngreifer/fwb/issues

Pkgdown site:https://ngreifer.github.io

Datasets:

On CRAN:

Conda-Forge:

5.39 score 6 stars 1 scripts 2.1k downloads 6 exports 6 dependencies

Last updated 2 days agofrom:84d2c7394e. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winOKMar 04 2025
R-4.5-macOKMar 04 2025
R-4.5-linuxOKMar 04 2025
R-4.4-winOKMar 04 2025
R-4.4-macOKMar 04 2025
R-4.4-linuxOKMar 04 2025
R-4.3-winOKMar 04 2025
R-4.3-macOKMar 04 2025

Exports:fwbfwb.ciget_ciget_fwb_wtypeset_fwb_wtypevcovFWB

Dependencies:chkcligluelifecyclepbapplyrlang

Reproducibility and Parallelization with fwb

Rendered fromfwb-rep.Rmdusingknitr::rmarkdownon Mar 04 2025.

Last update: 2025-03-04
Started: 2025-03-03