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.
- Version0.6-2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- wbacon citation info
- Last release09/07/2024
Documentation
Team
Tobias Schoch
R-core
Show author detailsRolesCopyright holder
Insights
Last 30 days
This package has been downloaded 167 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,774 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 58 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests5 packages
- Reverse Suggests1 package