glmnetUI
An Interactive Interface for the glmnet (Lasso and Elastic Net) Package
DOI:
https://doi.org/10.67330/ja8s2k39Keywords:
GLR, generalized linear regression, glmnet(), regression for real estate analysisAbstract
glmnetUI is a graphical user interface for the R glmnet package, which fits regularized generalized linear models via the Lasso, ridge, and elastic-net penalties. It offers three purpose modes—general predictive modeling, real-estate appraisal, and market-area analysis—and guides the user through data import, model configuration, cross-validated fitting, coefficient paths, and downloadable reports. This article documents glmnetUI’s data-format requirements, modeling workflow, output displays, and complete feature reference.
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References
Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. 2010. “Regularization Paths for Generalized Linear Models via Coordinate Descent.” Journal of Statistical Software 33 (1): 1–22. https://doi.org/10.18637/jss.v033.i01.
Simon, Noah, Jerome Friedman, Trevor Hastie, and Robert Tibshirani. 2011. “Regularization Paths for Cox’s Proportional Hazards Model via Coordinate Descent.” Journal of Statistical Software 39 (5): 1–13. https://doi.org/10.18637/jss.v039.i05.
Tay, J. Kenneth, Balasubramanian Narasimhan, and Trevor Hastie. 2023. “Elastic Net Regularization Paths for All Generalized Linear Models.” Journal of Statistical Software 106 (1): 1–31. https://doi.org/10.18637/jss.v106.i01.
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