This package is considered a duplicate. The official version of this package is found at:https://tobiasschoch.r-universe.dev/wbacon

Package: wbacon 0.6-2

Tobias Schoch

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:Tobias Schoch [aut, cre], R-core [cph]

wbacon_0.6-2.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tobiasschoch/wbacon/issues

Uses libs:

openblas– Optimized BLAS
openmp– GCC OpenMP (GOMP) support library

Datasets:

philips - Philips data

On CRAN:

openblas openmp

2.00 score 279 downloads 8 exports 2 dependencies

Last updated 7 months agofrom:d48024abe6. Checks:3 OK. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 07 2025
R-4.5-linux-x86_64	OK	Mar 07 2025
R-4.4-linux-x86_64	OK	Mar 07 2025

Exports:center distance is_outlier median_w quantile_w SeparationIndex wBACON wBACON_reg

Dependencies:hexbin lattice

Vignette: Weighted BACON algorithms

Tobias Schoch

Rendered fromwbacon.Rmdusingknitr::rmarkdownon Mar 07 2025.

Last update: 2024-02-09
Started: 2021-06-15

Citation

Schoch T (2021). “wbacon: Weighted BACON algorithms for multivariate outlier nomination (detection) and robust linear regression.” Journal of Open Source Software, 6(62), 3238. doi:10.21105/joss.03238.

Corresponding BibTeX entry:

  @Article{,
    title = {wbacon: Weighted BACON algorithms for multivariate outlier
      nomination (detection) and robust linear regression},
    author = {Tobias Schoch},
    journal = {Journal of Open Source Software},
    volume = {6},
    number = {62},
    pages = {3238},
    year = {2021},
    doi = {10.21105/joss.03238},
  }

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