Metadata-Version: 2.1
Name: mud
Version: 0.0.19rc0
Summary: Maximal Updated Density equations for Data-Consistent Inversion
Home-page: https://github.com/mathematicalmichael/mud.git
Author: Mathematical Michael
Author-email: consistentbayes@gmail.com
License: mit
Project-URL: Documentation, https://pyscaffold.org/
Description: [![Build Status](https://travis-ci.com/mathematicalmichael/mud.svg?branch=master)](https://travis-ci.com/mathematicalmichael/mud)
        [![codecov](https://codecov.io/gh/mathematicalmichael/mud/branch/master/graph/badge.svg?token=HT880PYHPG)](https://codecov.io/gh/mathematicalmichael/mud)
        [![PyPI version](https://badge.fury.io/py/mud.svg)](https://badge.fury.io/py/mud)
        
        # MUD
        
        Analytical solutions and some associated utility functions for computing maximal updated density points for Data-Consistent Inversion.
        
        ## Description
        
        Maximal Updated Density Points are the values which maximize an updated density, analogous to how a MAP (Maximum A-Posteriori) point maximizes a posterior density from Bayesian inversion.
        Updated densities differ from posteriors in that they are the solution to a different problem which seeks to match the push-forward of the updated density to a specified observed distribution.
        
        More about the differences here...
        
        What does this package include?
        
        
        ## Note
        
        This project has been set up using PyScaffold 3.2.3. For details and usage
        information on PyScaffold see https://pyscaffold.org/.
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: >=3.5
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Provides-Extra: testing
