Metadata-Version: 2.1
Name: bibat
Version: 0.0.6
Summary: Medium-sized Bayesian Analysis Generator
Home-page: https://github.com/teddygroves/mbag
Download-URL: https://pypi.org/project/mbag
Author: Teddy Groves
Author-email: tedgro@dtu.dk
License: GNU General Public License version 3
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.7
Provides-Extra: development
License-File: LICENSE

====================================================
Bibat: Batteries-Included Bayesian Analysis Template
====================================================

Bibat is a Python package that wraps a `cookiecutter
<https://cookiecutter.readthedocs.io/>`_ template for Bayesian statistical
analyses. 

It aims to make it easier for authors of statistical analyses to follow best
practices from both software development and statistics, and to be flexible
enough that any analysis can be implemented - even ones involving many complex
data processing options and statistical models.

Bibat is "batteries-included" in the sense that the template provides a complete
statistical analysis that you can run immediately.

Documentation
=============

Check out bibat's documentation at `https://bibat.readthedocs.io
<https://bibat.readthedocs.io>`_.

In particular, you may find it useful to have a look at `some projects that have
previously used bibat <https://bibat.readthedocs.io/en/latest/examples.html>`_.

Quick Start
===========

You can try out bibat like this:

.. code:: sh

    $ pip install bibat
    $ bibat

After following the wizard's instructions, you should now have a new directory
implementing a simple statistical analysis. To try it out, run the following
command from the root of the new directory:

.. code:: sh

    $ make analysis


