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This submission implements a ridge regression tool that works efficiently even if the number of predictors (p) is greater than the number of samples (n). Additionally, it implements:
* Search for optimal regularisation parameter using minimum message length and corrected AIC
* Generate regularisation paths
* Fit models with specified regularisation parameters or specified degrees-of-freedom
Cite As
Statovic (2026). FastRidge - fast ridge regression (https://www.mathworks.com/matlabcentral/fileexchange/54143-fastridge-fast-ridge-regression), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.3.0.0 (19.5 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
