Metadata-Version: 2.1
Name: edges_estimate
Version: 1.2.2
Summary: Parameter Estimation for EDGES
Home-page: https://github.com/edges-collab/edges-estimate
Author: EDGES Team
License: mit
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=2.7
Description-Content-Type: text/x-rst
Provides-Extra: dev
Provides-Extra: docs
Provides-Extra: test
License-File: LICENSE

==============
edges-estimate
==============

**Constrain foreground and 21 cm feature parameters with EDGES data.**

.. image:: https://readthedocs.org/projects/edges-estimate/badge/?version=latest
        :target: https://edges-estimate.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status
.. image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white
   :target: https://github.com/pre-commit/pre-commit
   :alt: pre-commit



Features
--------

* Uses yabf_ as its Bayesian framework
* Both ``emcee``-based and ``polychord``-based fits possible
* Range of foreground models available (eg. ``LinLog``, ``LogLog``, ``PhysicalLin``)
* Supports arbitrary hierarchical models, and parameter dependencies.

Installation
------------
You should just be able to do ``pip install .`` in the top-level directory, with all
necessary dependencies automatically installed.


.. _yabf: https://github.com/steven-murray/yabf


