Package: fwb 0.6.0
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.
Authors:
fwb_0.6.0.tar.gz
fwb_0.6.0.zip(r-4.7)fwb_0.6.0.zip(r-4.6)fwb_0.6.0.zip(r-4.5)
fwb_0.6.0.tgz(r-4.6-any)fwb_0.6.0.tgz(r-4.5-any)
fwb_0.6.0.tar.gz(r-4.7-any)fwb_0.6.0.tar.gz(r-4.6-any)
fwb_0.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fwb/json (API)
| # Install 'fwb' in R: |
| install.packages('fwb', repos = c('https://ngreifer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ngreifer/fwb/issues
Pkgdown/docs site:https://ngreifer.github.io
- bearingcage - Bearing Cage field failure data
Last updated from:4a13a6a4d8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 204 | ||
| source / vignettes | OK | 205 | ||
| linux-release-x86_64 | OK | 162 | ||
| macos-release-arm64 | OK | 140 | ||
| macos-oldrel-arm64 | OK | 112 | ||
| windows-devel | OK | 145 | ||
| windows-release | OK | 142 | ||
| windows-oldrel | OK | 136 | ||
| wasm-release | OK | 110 |
Exports:fwbfwb.arrayfwb.ciget_ciget_fwb_wtypeset_fwb_wtypevcovFWBw_centerw_corw_covw_meanw_medianw_quantilew_scalew_sdw_stdw_var
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bearing Cage field failure data | bearingcage |
| Fractional Weighted Bootstrap | fwb print.fwb |
| Recover Bootstrap Weights | fwb.array |
| Fractional Weighted Bootstrap Confidence Intervals | fwb.ci print.fwbci |
| Extract Confidence Intervals from a 'bootci' Object | get_ci |
| Plots of the Output of a Fractional Weighted Bootstrap | plot.fwb |
| Set weights type | get_fwb_wtype set_fwb_wtype |
| Summarize 'fwb' Output | confint.fwb summary.fwb |
| Fractional Weighted Bootstrap Covariance Matrix Estimation | vcovFWB |
| Calculate weighted statistics | w_center w_cor w_cov w_mean w_median w_quantile w_scale w_sd w_std w_var |
