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RobustLinearReg (version 1.2.0)

Robust Linear Regressions

Description

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) , Sen, P. K. (1968) .

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Install

install.packages('RobustLinearReg')

Monthly Downloads

209

Version

1.2.0

License

GPL-3

Maintainer

Santiago Hurtado

Last Published

June 12th, 2020

Functions in RobustLinearReg (1.2.0)

theil_sen

Theil Sen Regression