Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Noah Greifer [aut, cre] (ORCID: <https://orcid.org/0000-0003-3067-7154>) |
| Maintainer | Noah Greifer <noah.greifer@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.4.0 |
| URL | https://ngreifer.github.io/fwb/ https://github.com/ngreifer/fwb |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the fwb package in your browser
Any scripts or data that you put into this service are public.
