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Stype.est: S-Type Estimators

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.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: datasets, stats
Suggests: knitr, rmarkdown
Published: 2025-08-29
DOI: 10.32614/CRAN.package.Stype.est
Author: Hakan Savas Sazak ORCID iD [aut], Filiz Karadag ORCID iD [cre], Olgun Aydin ORCID iD [aut]
Maintainer: Filiz Karadag <filiz.karadag at ege.edu.tr>
BugReports: https://github.com/filizkrdg/S-type.est/issues
License: MIT + file LICENSE
URL: https://github.com/filizkrdg/S-type.est
NeedsCompilation: no
Materials: README
CRAN checks: Stype.est results

Documentation:

Reference manual: Stype.est.html , Stype.est.pdf

Downloads:

Package source: Stype.est_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): Stype.est_0.1.0.tgz, r-oldrel (x86_64): Stype.est_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Stype.est to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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