+stats Directory Reference

The ParaMonte MATLAB package pm.stats contains a set of routines and data related to statistical tasks.

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Directories
directory	+dist
	The ParaMonte MATLAB package pm.stats.dist contains a set of routines and data related to statistical distributions.
directory	+hist
	The ParaMonte MATLAB package pm.stats.hist contains a set of packages and functionalities for data fitting.

Files
file	AutoCorr.m [code]
file	Contents.m [code]
file	Cor.m [code]
file	Cov.m [code]

Detailed Description

The ParaMonte MATLAB package pm.stats contains a set of routines and data related to statistical tasks.

Note

For more information on the existing functionalities, see the documentations of the package members.

Final Remarks ⛓

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If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.

1. If you use any parts or concepts from this library to any extent, please acknowledge the usage by citing the relevant publications of the ParaMonte library.
   
2. If you regenerate any parts/ideas from this library in a programming environment other than those currently supported by this ParaMonte library (i.e., other than C, C++, Fortran, MATLAB, Python, R), please also ask the end users to cite this original ParaMonte library.
   

This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.

Copyright

Computational Data Science Lab

Author:

Joshua Alexander Osborne, May 21 2024, 4:15 AM, University of Texas at Arlington
Fatemeh Bagheri, May 20 2024, 1:25 PM, NASA Goddard Space Flight Center (GSFC), Washington, D.C.
Amir Shahmoradi, May 16 2016, 9:03 AM, Oden Institute for Computational Engineering and Sciences (ICES), UT Austin