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