Package: RobustLinearReg 1.2.0
Santiago I. Hurtado
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. Theil, H. (1992) <doi:10.1007/978-94-011-2546-8_20>, Sen, P. K. (1968) <doi:10.1080/01621459.1968.10480934>.
Authors:
RobustLinearReg_1.2.0.tar.gz
RobustLinearReg_1.2.0.tar.gz(r-4.5-noble)RobustLinearReg_1.2.0.tar.gz(r-4.4-noble)
RobustLinearReg_1.2.0.tgz(r-4.4-emscripten)RobustLinearReg_1.2.0.tgz(r-4.3-emscripten)
RobustLinearReg.pdf |RobustLinearReg.html✨
RobustLinearReg/json (API)
| # Install 'RobustLinearReg' in R: |
| install.packages('RobustLinearReg', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:93a26a024d. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 19 2025 |
| R-4.5-linux | OK | Mar 19 2025 |
| R-4.4-linux | OK | Mar 19 2025 |
Exports:siegel_regressiontheil_sen_regression
Dependencies:
Citation
To cite package ‘RobustLinearReg’ in publications use:
Hurtado SI (2020). RobustLinearReg: Robust Linear Regressions. R package version 1.2.0, https://CRAN.R-project.org/package=RobustLinearReg.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{,
title = {RobustLinearReg: Robust Linear Regressions},
author = {Santiago I. Hurtado},
year = {2020},
note = {R package version 1.2.0},
url = {https://CRAN.R-project.org/package=RobustLinearReg},
}
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Theil Sen Regression | siegel_regression theil_sen_regression |