Metadata-Version: 2.4
Name: OpenGeode-Stochastic
Version: 1.21.0
Summary: A module of the OpenGeode framework for stochastic modeling, simulation and bayesian inference
Author-email: Geode-solutions <contact@geode-solutions.com>
License: MIT
Requires-Python: <3.15,>=3.10
Description-Content-Type: text/markdown
Requires-Dist: opengeode-core==17.*,>=17.3.1

<h1 align="center">OpenGeode-Stochatic<sup><i>by Geode-solutions</i></sup></h1>
<h3 align="center">A module of the OpenGeode framework for stochastic modeling, simulation and bayesian inference.</h3>

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## Introduction

## Documentation

## Questions

For questions and support please use the official [slack](https://slackin-opengeode.herokuapp.com) and go to the channel #module_template. The issue list of this repo is exclusively for bug reports and feature requests.

## Interesting other projects

DRlib is a C++ library for modeling, simulation and inference of marked point processes:
https://gitlab.univ-lorraine.fr/labos/iecl/drlib

### References
 * Chiu SN, Stoyan D, Kendall WS, Mecke J (2013) Stochastic geometry and its applications, 3rd edn. Wiley,Chichester.https://doi.org/10.1002/9781118658222
 * Illian J, Penttinen A, Stoyan H, Stoyan D (2008) Statistical analysis and modelling of spatial point patterns.Wiley, Chichester.https://doi.org/10.1002/9780470725160
 * Stoica RS (2025) Random patterns and structures in spatial data. Chapman & Hall, CRC Press, Boca Raton.https://doi.org/10.1201/9781003380382
 * Van Lieshout MNM (2000) Markov point processes and their applications. Imperial College Press, London.https://doi.org/10.1142/p060

## License

[MIT](https://opensource.org/licenses/MIT)

Copyright (c) 2019 - 2026, Geode-solutions
