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fwb
View on CRAN: Click
here
Download and install fwb package within the R console
Install from CRAN:
install.packages("fwb")
Install from Github:
library("remotes")
install_github("cran/fwb")
Install by package version:
library("remotes")
install_version("fwb", "0.2.0")
Attach the package and use:
library("fwb")
Maintained by
Noah Greifer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-19
Latest Update: 2023-12-07
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)
for details.
How to cite:
Noah Greifer (2022). fwb: Fractional Weighted Bootstrap. R package version 0.2.0, https://cran.r-project.org/web/packages/fwb. Accessed 06 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for fwb
Functions, R codes and Examples using
the fwb R package
Some associated functions: bearingcage . fwb-package . fwb.ci . fwb . get_ci . plot.fwb . set_fwb_wtype . summary.fwb . vcovFWB .
Some associated R codes: bearingcage.R . fwb-package.R . fwb.R . fwb.ci.R . plot.fwb.R . set_fwb_wtype.R . summary.fwb.R . utils.R . vcovFWB.R . Full fwb package functions and examples
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