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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>.
Getting started
Browse package contents
Package details |
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| Author | Santiago I. Hurtado <santih@carina.fcaglp.unlp.edu.ar> |
| Maintainer | Santiago I. Hurtado <santih@carina.fcaglp.unlp.edu.ar> |
| License | GPL-3 |
| Version | 1.2.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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