S-type.est: An R package for the S-type estimators

This R package provides an implementation of the S-type.est, a robust estimation method designed for the general linear regression models. The S-type estimators were introduced by Sazak and Mutlu (2023) in their study, "Comparison of the Robust Methods in the General Linear Regression Model."

Features

• Performs robust linear regression using the S-type estimators.
• Minimizes the MSE of the model.
• Minimizes the influence of outliers and leverage points.
• Diagnostic tools for model performance assessment.
• Enhanced efficiency and adaptability for data sets with challenging characteristics.

Installation

To install the package from GitHub, use the following command:

Installing S-type.est development version

Please make sure that you installed devtools package first:

install.packages("devtools")

Install the package

devtools::install_github("filizkrgd/S-type.est")

Installing S-type.est from CRAN

install.packages("S-type.est")

Installing S-type.est development version

Example usage of the package.

You can use datasets package to have example data to test S-type.est package. datasets package is being installed, while you are installing S-type.est package, so you don't have to install the package again.

• Prepare the dataset

library(datasets)
data(airquality)
str(airquality)
cleanairquality=na.omit(airquality)
Y1=cleanairquality$Ozone
X1=cleanairquality$Temp
X2=cleanairquality$Wind
X3=cleanairquality$Solar.R
x=data.frame("X1"=X1,"X2"=X2,"X3"=X3)
y=data.frame("Y"=Y1)

• Run regstype function to get regression results using the S-type estimators.

regsx=regstype(y,x)

References

• Sazak, M. and Mutlu, B. (2023). Comparison of the Robust Methods in the General Linear Regression Model.

Contact

For any questions please contact:

• Hakan Savas Sazak, hakan.savas.sazak@ege.edu.tr
• Filiz Karadag, filiz.karadag@ege.edu.tr
• Olgun Aydin, olgun.aydin@pg.edu.pl