Metadata-Version: 2.1
Name: sstudentt
Version: 0.1.1
Summary: An implementation of the skewed student-t distribution.
Home-page: https://github.com/berrij/sstudentt
Author: Jonathan Berrisch
Author-email: jonathan@berrisch.biz
License: GNU General Public License v3
Keywords: sstudentt
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst

.. image:: https://img.shields.io/pypi/v/sstudentt?style=for-the-badge
        :alt: PyPI
        :target: https://pypi.org/project/sstudentt/

.. image:: https://img.shields.io/pypi/status/sstudentt?style=for-the-badge
        :alt: PyPI - Status
        :target: https://pypi.org/project/sstudentt/

.. image:: https://img.shields.io/travis/BerriJ/sstudentt?style=for-the-badge
        :alt: Travis (.com)
        :target: https://travis-ci.com/berrij/sstudentt

.. image:: https://img.shields.io/readthedocs/sstudentt?style=for-the-badge
        :alt: Documentation Status
        :target: https://sstudentt.readthedocs.io/en/latest/usage.html

.. image:: https://img.shields.io/pypi/l/sstudentt?style=for-the-badge
        :alt: PyPI - License
        :target: https://pypi.org/project/sstudentt/

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================================================================================
A python implementation of the skewed student-t distribution.
================================================================================

This package implements the skewed student-t distribution in python. Parameterized as described in Wurtz et. al (2006) [1]_.
An implementation in R is already existent [2]_.

Features
--------

* Evaluate the density function
* Evaluate the cumulative distribution function
* Evaluate the quantile function
* Generate random numbers

References
----------

.. [1] Wurtz, Y. Chalabi, and L. Luksan. Parameter estimation of arma models with garch/aparch errors. an r and splus software implementation. Journal of Statistical Software, 2006.

.. [2] R Implementation: https://www.gamlss.com/wp-content/uploads/2018/01/DistributionsForModellingLocationScaleandShape.pdf


Licence
-------
Free software: GNU General Public License v3

Documentation
-------------
Documentation: https://sstudentt.readthedocs.io.

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.1 (2021-06-05)
------------------
* Fix malformed README file

0.1.0 (2021-06-05)
------------------
* Moving to beta state
* Use rtd-sphinx-theme for the documentation
* Update dev requirements

0.0.5 (2020-04-19)
------------------
* First release on PyPi
* Use pydata-sphinx-theme for the documentation

0.0.3 (2020-04-20)
------------------
* Update Documentation

0.0.3 (2020-04-19)
------------------
* Automatic deployment on Test-PyPi via travis

0.0.2 (2020-04-19)
------------------
* Import SST class directly

0.0.1 (2020-04-19)
------------------
* First release on Test-PyPI.


