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: | 0.1.1 |
Depends: | R (≥ 3.0.0) |
Imports: | rlang, chk, pbapply |
Suggests: | survival, boot, sandwich (≥ 2.4-0), lmtest, parallel |
Published: | 2022-10-26 |
Author: | Noah Greifer |
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://github.com/ngreifer/fwb, https://ngreifer.github.io/fwb/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | fwb results |
Reference manual: | fwb.pdf |
Package source: | fwb_0.1.1.tar.gz |
Windows binaries: | r-devel: fwb_0.1.1.zip, r-release: fwb_0.1.1.zip, r-oldrel: fwb_0.1.1.zip |
macOS binaries: | r-release (arm64): fwb_0.1.1.tgz, r-oldrel (arm64): fwb_0.1.1.tgz, r-release (x86_64): fwb_0.1.1.tgz, r-oldrel (x86_64): fwb_0.1.1.tgz |
Old sources: | fwb archive |
Please use the canonical form https://CRAN.R-project.org/package=fwb to link to this page.