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wbacon  

Weighted BACON Algorithms
View on CRAN: Click here


Download and install wbacon package within the R console
Install from CRAN:
install.packages("wbacon")

Install from Github:
library("remotes")
install_github("cran/wbacon")

Install by package version:
library("remotes")
install_version("wbacon", "0.6-2")



Attach the package and use:
library("wbacon")
Maintained by
Tobias Schoch
[Scholar Profile | Author Map]
First Published: 2021-06-15
Latest Update: 2024-02-08
Description:
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>.
How to cite:
Tobias Schoch (2021). wbacon: Weighted BACON Algorithms. R package version 0.6-2, https://cran.r-project.org/web/packages/wbacon. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.5-1 (2021-06-17 08:00), 0.5-2 (2021-10-07 20:30), 0.5 (2021-06-15 10:00), 0.6-1 (2024-02-08 09:00), 0.6 (2021-11-04 21:40)
Other packages that cited wbacon R package
View wbacon citation profile
Other R packages that wbacon depends, imports, suggests or enhances
Complete documentation for wbacon
Functions, R codes and Examples using the wbacon R package
Some associated functions: is_outlier . median_w . plot_wbaconlm . plot_wbaconmv . predict_wbaconlm . quantile_w . wbacon-package . wbacon . wbacon_reg . 
Some associated R codes: is_outlier.R . median_w.R . plot_wbaconlm.R . plot_wbaconmv.R . predict_wbaconlm.R . quantile_w.R . wbacon.R . wbacon_reg.R .  Full wbacon package functions and examples
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