A package to compute the expectation value of the chi squared defined from arbitrary regularizations of the inverse covariance matrix.
- Website: https://mbruno46.github.io/chiexp/
- Documentation: web, pdf
- Examples: python, matlab
- Source code: python, matlab
- Bug reports: https://github.com/mbruno46/chiexp/issues
If you use this library in your publications please cite:
- M. Bruno, R. Sommer, On fits to correlated and auto-correlated data Comput.Phys.Commun. 285 (2023) 108643.
Copyright (C) 2017-2022 Mattia Bruno, Rainer Sommer
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 chiexpWe 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).