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cff-version: 1.2.0
message: 'To cite package "Stype.est" in publications use:'
type: software
license: MIT
title: 'Stype.est: S-Type Estimators'
version: 0.1.0
doi: 10.32614/CRAN.package.Stype.est
abstract: Implements the S-type estimators, novel robust estimators for general linear
  regression models, addressing challenges such as outlier contamination and leverage
  points. This package introduces robust regression techniques to provide a robust
  alternative to classical methods and includes diagnostic tools for assessing model
  fit and performance. The methodology is based on the study, "Comparison of the Robust
  Methods in the General Linear Regression Model" by Sazak and Mutlu (2023). This
  package is designed for statisticians and applied researchers seeking advanced tools
  for robust regression analysis.
authors:
- family-names: Sazak
  given-names: Hakan Savas
  email: hakan.savas.sazak@ege.edu.tr
  orcid: https://orcid.org/0000-0001-6123-1214
- family-names: Karadag
  given-names: Filiz
  email: filiz.karadag@ege.edu.tr
  orcid: https://orcid.org/0000-0002-0116-7772
- family-names: Aydin
  given-names: Olgun
  email: olgun.aydin@pg.edu.pl
  orcid: https://orcid.org/0000-0002-7090-0931
repository: https://filizkrdg.r-universe.dev
repository-code: https://github.com/filizkrdg/S-type.est
commit: 11f2970e9b129767906e7f74c12944d3b7450abc
url: https://github.com/filizkrdg/S-type.est
date-released: '2025-08-27'
contact:
- family-names: Karadag
  given-names: Filiz
  email: filiz.karadag@ege.edu.tr
  orcid: https://orcid.org/0000-0002-0116-7772