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>.

Version: 0.5-2
Depends: R (≥ 3.5.0)
Imports: stats, graphics, grDevices, hexbin
Suggests: modi, robustbase, robustX (≥ 1.2-5), cellWise, knitr, rmarkdown
Published: 2021-10-07
Author: Tobias Schoch ORCID iD [aut, cre], R-core [cph] (plot.wbaconlm derives from plot.lm)
Maintainer: Tobias Schoch <tobias.schoch at gmail.com>
BugReports: https://github.com/tobiasschoch/wbacon/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tobiasschoch/wbacon
NeedsCompilation: yes
Citation: wbacon citation info
Materials: NEWS
CRAN checks: wbacon results

Documentation:

Reference manual: wbacon.pdf
Vignettes: Weighted BACON algorithms

Downloads:

Package source: wbacon_0.5-2.tar.gz
Windows binaries: r-devel: wbacon_0.5-2.zip, r-devel-UCRT: wbacon_0.5-2.zip, r-release: wbacon_0.5-2.zip, r-oldrel: wbacon_0.5-2.zip
macOS binaries: r-release (arm64): wbacon_0.5-1.tgz, r-release (x86_64): wbacon_0.5-2.tgz, r-oldrel: wbacon_0.5-2.tgz
Old sources: wbacon archive

Linking:

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