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ChiExp

Test Octave Test Python Build Doc License: GPL v2

Python Matlab Octave

A package to compute the expectation value of the chi squared defined from arbitrary regularizations of the inverse covariance matrix.

If you use this library in your publications please cite:

Authors

Copyright (C) 2017-2022 Mattia Bruno, Rainer Sommer

Installation

A MATLAB version of the package can be found in the directory /lib/matlab; it can be imported in any script by typing

>> addpath '/path/to/chiexp/directory/lib/matlab'
>> help chiexp

We also provide a Python module contained in the directory lib/python, that can be easily imported with

>>> import sys
>>> sys.path.append('/path/to/chiexp/directory/lib/python')
>>> from chiexp import chisquare
>>> help(chisquare)

To build the documentation locally download the git repository and run make html or make latexpdf from the doc folder. It requires the sphinx-build command so make sure that sphinx is properly installed (pip install sphinx).

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Programs to compute the expected chi squared

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  • Python 50.1%
  • MATLAB 49.9%