RobustLinearReg
Robust Linear Regressions
Provides an easy way to compute the Theil Sehn Regression method and also the Siegel Regression Method which are both robust methods base on the median of slopes between all pairs of data. In contrast with the least squared linear regression, these methods are not sensitive to outliers. doi:10.1007/978-94-011-2546-8_20, doi:10.1080/01621459.1968.10480934.
- Version1.2.0
- R version≥ 3.1.0
- LicenseGPL-3
- Needs compilation?No
- Last release06/12/2020
Team
Santiago I. Hurtado
Insights
Last 30 days
This package has been downloaded 231 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 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 2,457 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Nov 20, 2024 with 40 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