FastRidge - fast ridge regression

Implementation of fast ridge regression tool that works efficiently for the case that p > n

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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

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.3.0.0

Removed superfluous reference from the file.

1.2.0.0

Updated example script to include several additional examples.

1.1.0.0

Included the diabetes dataset for the example script.

1.0.0.0