Package: fwb 0.2.0.9000
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_0.2.0.9000.tar.gz
fwb_0.2.0.9000.zip(r-4.5)fwb_0.2.0.9000.zip(r-4.4)fwb_0.2.0.9000.zip(r-4.3)
fwb_0.2.0.9000.tgz(r-4.4-any)fwb_0.2.0.9000.tgz(r-4.3-any)
fwb_0.2.0.9000.tar.gz(r-4.5-noble)fwb_0.2.0.9000.tar.gz(r-4.4-noble)
fwb_0.2.0.9000.tgz(r-4.4-emscripten)fwb_0.2.0.9000.tgz(r-4.3-emscripten)
fwb.pdf |fwb.html✨
fwb/json (API)
NEWS
| # 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
- bearingcage - Bearing Cage field failure data
Last updated 4 months agofrom:90c0d17b66. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bearing Cage field failure data | bearingcage |
| Fractional Weighted Bootstrap | fwb print.fwb |
| 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 | summary.fwb |
| Fractional Weighted Bootstrap Covariance Matrix Estimation | vcovFWB |
