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LARS algorithm

version 1.0.0.0 (1.44 MB) by Sung Soo Kim
Pure vanilla implementation of LARS algorithm.

11 Downloads

Updated 31 Mar 2016

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This is a pure vanilla implementation of LARS algorithm with LASSO modification. For more information about the algorithm follow the link. http://www-stat.stanford.edu/~hastie/Papers/LARS/LeastAngle_2002.pdf This document is included in the zip file (LeastAngle_2002.pdf).
There are many 'lars' implementation in the internet if you search. This is a relatively pure porting of the 'lars' package written by algorithm developer long time ago for R statistics language. Recent version by authors may have many changes. See http://cran.r-project.org/web/packages/lars/index.html for more information.
I commented equation number line by line in the codes so that you can follow the algorithm as you read the paper. You may start developing your own 'lars' implementation from this point. Test set includes Diabetes example used in the original paper (sorry, no plots for that). If you find any error, let me know. I'll appreciate it.

Caution: I've been using this file for more than 3 years, but I've never used 'forward stagewise' or 'pure lars'. I've been using only 'lars with lasso modification'. So I don't guarantee former two algorithms.

Installation:
Just copy 4 files in the 'lars' folder to your path. Or add 'lars' folder to your Matlab path.

Testing:
Read the 'test_lars.m' file. All files in the 'lars_tests' folder should be in the search path. It is written in the XTargets' MUnit format. But if you don't use MUnit, that's fine. Just copy and run codes in nested functions in that file.

Usage:
See 'test_lars.m' file.

License: The original R-package written by algorithm developers is under GPL v2 or newer. So is this.

Cite As

Sung Soo Kim (2020). LARS algorithm (https://www.mathworks.com/matlabcentral/fileexchange/23186-lars-algorithm), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (2)

Hong Jang

Sung Soo Kim

The Matlab R2011a implemented a great function called 'lasso' in the Statistical Toolbox. If you have the Statistical Toolbox, use 'lasso'.

You may still use my function as a study purpose or when you don't have the statistical toolbox.

Updates

1.0.0.0

license

1.0.0.0

license

MATLAB Release Compatibility
Created with R14SP3
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired: zeroSR1