cMadan/prism
Multiple spline regression with regularization, dimensionality reduction, and feature selection
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Prism uses a combination of statistical methods to conduct spline-based multiple regression. Prism conducts this regression using regularization, dimensionality reduction, and feature selection, through a combination of smoothing spline regression, PCA, and RVR/LASSO.
Please cite this paper if you use the toolbox:
Madan, C. R. (2016). Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection. Journal of Open Source Software, 31. doi:10.21105/joss.00031
Cite As
Christopher Madan (2026). cMadan/prism (https://github.com/cMadan/prism), GitHub. Retrieved .
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
General Information
- Version 2.0.0.0 (1.14 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0.0 | See Github. |
