StatRidge

Overview

StatRidge is an R package developed from peer-reviewed research on ridge regression estimation and simulation studies. It translates published statistical methodologies into reusable software for research, teaching, and practical data analysis.

The package implements classical and newly developed ridge regression estimators for linear, logistic, and Poisson regression models.

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Objectives

StatRidge aims to:

• translate published statistical research into reusable software;
• provide accessible implementations of ridge regression methodologies;
• support reproducible research;
• facilitate teaching and learning in regression analysis;
• serve as a platform for future methodological developments.

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Current Status

🚧 Under active development

Current implementation includes:

• Linear Ridge Regression
• Logistic Ridge Regression
• Poisson Ridge Regression
• Monte Carlo Simulation Framework
• Ridge Parameter Estimators

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Research Foundation

The package is developed from a series of peer-reviewed publications investigating ridge regression estimation under multicollinearity through simulation studies.

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Planned Features

• Automatic ridge parameter selection
• Model comparison
• Simulation engine
• jamovi integration
• Shiny application
• Additional generalized linear ridge models

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Installation

Coming soon.

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Documentation

Documentation will be added with future releases.

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Citation

If you use StatRidge in research, please cite the associated publications.

• A Simulation Study of Some Logistic, Poisson, and Multiple Ridge Regression Estimators. (2025). European Journal of Pure and Applied Mathematics, 18(2), 6162. https://doi.org/10.29020/nybg.ejpam.v18i2.6162
• Jerson S. Mohamad, Angelyn S. Delica , Shiela May M. Ledesma. “POISSON RIDGE REGRESSION ESTIMATORS”. Advances and Applications in Statistics, vol. 93, no. 1, Jan. 2026, pp. 97-112, https://doi.org/10.17654/0972361726007.
• Doeyien D. Misil, Aubrey G. Labastilla, Maydalyn H. Esperat. “DATA-DRIVEN LOGISTIC RIDGE ESTIMATORS USING MSE-BASED SELECTION”. Far East Journal of Mathematical Sciences (FJMS), vol. 143, no. 4, Apr. 2026, pp. 1267-83, https://doi.org/10.17654/0972087126073.
• Mohamad, J., Delica, A. S., Esperat, M. H., Labastilla, A. G., Ledesma, S. M. M., & Misil, D. D. (2026). StatRidge (Version 0.1.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21350867

Principal Author and Co-Authors

Jerson S. Mohamad, Ph.D.

Angelyn S. Delica, Maydalyn H. Esperat, Aubrey G. Labastilla, Shiela May M. Ledesma, and Doeyien D. Misil.

Department of Mathematics and Statistics, Western Mindanao State University, Philippines

License

GNU General Public License v3.0 (GPL-3.0)

To be determined.