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

Package details

AuthorSantiago I. Hurtado <>
MaintainerSantiago I. Hurtado <>
Package repositoryView on CRAN
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RobustLinearReg documentation built on July 1, 2020, 10:31 p.m.