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-4.7-any)RobustLinearReg_1.2.0.tar.gz(r-4.6-any)
RobustLinearReg_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RobustLinearReg/json (API)
| # Install 'RobustLinearReg' in R: |
| install.packages('RobustLinearReg', repos = c('https://cran.r-universe.dev', '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 from:93a26a024d. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 95 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | OK | 113 | ||
| wasm-release | OK | 109 |
Exports:siegel_regressiontheil_sen_regression
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Theil Sen Regression | siegel_regression theil_sen_regression |