ecdf-estimator 0.1.7

Python package for parameter estimation of random data

Welcome to ecdf_estimator

It contains a Python based framework for parameter estimation, which is currently under construction.

It may be installed using

$ pip install git+https://github.com/AndreasRupp/ecdf_estimator.git

for the latest version, which is located in the GitHub repository. Alternatively, you can use

$ python3 -m pip install ecdf_estimator

to obtain the latest stable version from PyPI.

Copyright, License, and Contribution Policy

This directory contains the ecdf_estimator library.

The ecdf_estimator library is copyrighted by the authors of ecdf_estimator. This term currently refers to Andreas Rupp.

This library is free software; you can use it, redistribute it, and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. The full text of the GNU Lesser General Public version 2.1 is quoted in License.txt.

Contributions

As a contributor to this project, you agree that all of your contributions be governed by the Developer Certificate of Origin version 1.1. This project does not require copyright assignments for contributions. This means that the copyright for code contributions in this project is held by its respective contributors who have each agreed to release their contributed code under a compatible open source license (LGPL v2.1 for library code). The full text of the Developer Certificate of Origin version 1.1 is quoted in DeveloperCertificateOfOrigin.txt.

Referencing the library

In addition to the terms imposed by the LGPL v2.1 or later, we ask for the following courtesy:

Every publication presenting numerical results obtained with the help of ecdf_estimator should state the name of the library and cite one or more of the following references

• A. Kazarnikov, N. Ray, H. Haario, J. Lappalainen, and A. Rupp
  Parameter estimation for cellular automata
  arXiv preprint, doi: 10.48550/arXiv.2301.13320

This is the usual, fair way of giving credit to contributors to a scientific result. In addition, it helps us justify our effort in developing ecdf_estimator as an academic undertaking.

Contact

For further questions regarding licensing and commercial use please contact Andreas Rupp directly using Email.

Links

• The license can be found in License.txt. It contains the GNU Lesser General Public License version 2.1.
• The developer certificate of origin can be found in DeveloperCertificateOfOrigin.txt. It contains the Developer Certificate of Origin version 1.1.