Package: wbacon 0.6-2
wbacon: Weighted BACON Algorithms
The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2>. The extension to weighted problems is due to Beguin and Hulliger (2008) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616>; see also <doi:10.21105/joss.03238>.
Authors:
wbacon_0.6-2.tar.gz
wbacon_0.6-2.zip(r-4.5)wbacon_0.6-2.zip(r-4.4)wbacon_0.6-2.zip(r-4.3)
wbacon_0.6-2.tgz(r-4.4-x86_64)wbacon_0.6-2.tgz(r-4.4-arm64)wbacon_0.6-2.tgz(r-4.3-x86_64)wbacon_0.6-2.tgz(r-4.3-arm64)
wbacon_0.6-2.tar.gz(r-4.5-noble)wbacon_0.6-2.tar.gz(r-4.4-noble)
wbacon_0.6-2.tgz(r-4.4-emscripten)wbacon_0.6-2.tgz(r-4.3-emscripten)
wbacon.pdf |wbacon.html✨
wbacon/json (API)
NEWS
| # Install 'wbacon' in R: |
| install.packages('wbacon', repos = c('https://tobiasschoch.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tobiasschoch/wbacon/issues
- philips - Philips data
outlieroutlier-detectionrobust-regressionstatistics
Last updated 3 months agofrom:fad1070c2c. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | OK | Nov 07 2024 |
| R-4.5-linux-x86_64 | OK | Nov 07 2024 |
| R-4.4-win-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-aarch64 | OK | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:centerdistanceis_outliermedian_wquantile_wSeparationIndexwBACONwBACON_reg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Weighted BACON Algorithms for Multivariate Outlier Nomination (Detection) and Robust Linear Regression | wbacon-package wbacon |
| Flag Outliers | is_outlier is_outlier.wbaconlm is_outlier.wbaconmv |
| Weighted Median | median_w |
| Philips data | philips |
| Plot Diagnostics for an Object of Class 'wbaconlm' | plot.wbaconlm |
| Plot Diagnostics for an Object of Class 'wbaconmv' | plot.wbaconmv SeparationIndex |
| Predicted Values Based on the Weighted BACON Linear Regression | predict.wbaconlm |
| Weighted Sample Quantiles | quantile_w |
| Weighted BACON Algorithm for Multivariate Outlier Detection | center distance print.wbaconmv summary.wbaconmv vcov.wbaconmv wBACON |
| Robust Fitting Linear Regression Models by the BACON Algorithm | coef.wbaconlm fitted.wbaconlm print.wbaconlm residuals.wbaconlm summary.wbaconlm vcov.wbaconlm wBACON_reg |
