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: 0.5.0 Depends: R (≥ 3.6.0) 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: 2025-07-08 DOI: 10.32614/CRAN.package.fwb Author: Noah Greifer [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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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