fwb-package {fwb} | R Documentation |
fwb: Fractional Weighted Bootstrap
Description
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.
Author(s)
Maintainer: Noah Greifer noah.greifer@gmail.com (ORCID)
References
Xu, L., Gotwalt, C., Hong, Y., King, C. B., & Meeker, W. Q. (2020). Applications of the Fractional-Random-Weight Bootstrap. The American Statistician, 74(4), 345–358. doi:10.1080/00031305.2020.1731599
See Also
Useful links:
Report bugs at https://github.com/ngreifer/fwb/issues
[Package fwb version 0.5.0 Index]