CRAN/E | RobustLinearReg

RobustLinearReg

Robust Linear Regressions

Installation

About

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.

Key Metrics

Version 1.2.0
R ≥ 3.1.0
Published 2020-06-12 1462 days ago
Needs compilation? no
License GPL-3
CRAN checks RobustLinearReg results

Downloads

Yesterday 6
Last 7 days 20 -59%
Last 30 days 168 -38%
Last 90 days 657 -25%
Last 365 days 3.228 +11%

Maintainer

Maintainer

Santiago I. Hurtado

Authors

Santiago I. Hurtado

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.1.0