Metadata-Version: 2.1
Name: simago
Version: 0.2.0
Summary: Generate random populations.
Home-page: https://github.com/alexanderharms/simago
Author: Alexander Harms
Author-email: a.g.j.harms@protonmail.com
License: UNKNOWN
Description: # Simago: Population simulation
        
        This package can be used to generate random populations, sets of microdata, based
        on (publicly availabled) aggregated data.  
        
        These populations can then for example be used for experimentation in the field
        of machine learning or simulation studies.
        
        ## Usage
        To generate a population the 'generate_population' from 'simago.population' has
        to be called. This function creates a population in the form of tablfe with a
        row for every person and a column for each property of this person. The values
        for these properties are randomly drawn from probability distributions defined
        by the supplied data. This is done by supplying a settings file, a data file and
        possibly a conditionals file. In the
        [simago-examples](www.github.com/alexanderharms/simago-examples) repository an example is
        described of how to use the package.
        
        ## How to contribute
        In order to contribute either leave a message in the Issues section or open a pull request. The documentation is currently made in Sphinx 1.8.5 and the unit testing is performed using pytest 6.0.1.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
