https://github.com/abhranildas/gx2-matlab

Matlab toolbox to compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.
https://github.com/abhranildas/gx2-matlab

matlab-toolbox probability-distribution statistics

Last synced: about 12 hours ago
JSON representation

Matlab toolbox to compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.

• Host: GitHub
• URL: https://github.com/abhranildas/gx2-matlab
• Owner: abhranildas
• License: mit
• Created: 2020-12-30T06:41:32.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2026-06-28T03:46:32.000Z (1 day ago)
• Last Synced: 2026-06-28T05:19:59.131Z (1 day ago)
• Topics: matlab-toolbox, probability-distribution, statistics
• Language: MATLAB
• Homepage: https://www.mathworks.com/matlabcentral/fileexchange/85028-generalized-chi-square-distribution
• Size: 7.41 MB
• Stars: 12
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Generalized chi-square distribution [![View Generalized chi-square distribution on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/85028-generalized-chi-square-distribution)

Matlab toolbox to compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution. There is also a [python package](https://pypi.org/project/gx2/) version of this.

## Author

Abhranil Das, Center for Perceptual Systems, The University of Texas at Austin.

Bugs/comments/questions/suggestions to abhranil.das@utexas.edu.

If you use this code, please cite:

 - [Methods to integrate multinormals and compute classification measures](https://arxiv.org/abs/2012.14331)

 - New methods to compute the generalized chi-square distribution: [journal](https://www.tandfonline.com/doi/abs/10.1080/00949655.2025.2501401) / [arxiv](https://arxiv.org/abs/2404.05062) (better formatting)

## Installation

Within Matlab's Home tab, select Add-Ons > Get Add-Ons > Search for 'Generalized chi-square distribution' and install.

## Getting Started

After installation, begin with the Getting Started live script with interactive examples, or, at any time, go to Matlab Home tab > Add-Ons > Manage Add-Ons > click the three dots next to this toolbox > View Getting Started Guide

## Documentation

For function help, type:

    doc gx2_to_norm_quad_params

    doc norm_quad_to_gx2_params

    doc gx2stat

    doc gx2rnd

    doc gx2char

    doc gx2cdf

    doc gx2pdf

    doc gx2inv