Package: wbacon 0.6-3

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_0.6-3.tar.gz
wbacon_0.6-3.zip(r-4.6)wbacon_0.6-3.zip(r-4.5)
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wbacon_0.6-3.tgz(r-4.5-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

Uses libs:
  • openblas– Optimized BLAS
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

outlieroutlier-detectionrobust-regressionstatisticsopenblasopenmp

4.35 score 3 stars 15 scripts 634 downloads 8 exports 2 dependencies

Last updated from:2ba45d9510. Checks:12 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK116
linux-devel-x86_64OK120
source / vignettesOK165
linux-release-arm64OK105
linux-release-x86_64OK117
macos-devel-arm64OK126
macos-devel-x86_64OK258
macos-release-arm64OK133
macos-release-x86_64OK220
windows-develOK115
windows-releaseOK90
wasm-releaseOK100

Exports:centerdistanceis_outliermedian_wquantile_wSeparationIndexwBACONwBACON_reg

Dependencies:hexbinlattice

Vignette: Weighted BACON algorithms

Rendered fromwbacon.Rmdusingknitr::rmarkdownon Mar 29 2026.

Last update: 2025-05-03
Started: 2021-03-26

Readme and manuals

Help Manual

Help pageTopics
Weighted BACON Algorithms for Multivariate Outlier Nomination (Detection) and Robust Linear Regressionwbacon-package wbacon
Flag Outliersis_outlier is_outlier.wbaconlm is_outlier.wbaconmv
Weighted Medianmedian_w
Philips dataphilips
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 Regressionpredict.wbaconlm
Weighted Sample Quantilesquantile_w
Weighted BACON Algorithm for Multivariate Outlier Detectioncenter distance print.wbaconmv summary.wbaconmv vcov.wbaconmv wBACON
Robust Fitting Linear Regression Models by the BACON Algorithmcoef.wbaconlm fitted.wbaconlm print.wbaconlm residuals.wbaconlm summary.wbaconlm vcov.wbaconlm wBACON_reg