Skip to content

Methods for running simulations to calculate Voter Satisfaction Efficiency (VSE) of various voting systems in various conditions.

Notifications You must be signed in to change notification settings

ragconsumer/vse-sim

 
 

Repository files navigation

Voter Satisfaction Efficiency

These are some methods for running VSE (Voter Satisfaction Efficiency) simulations for various voting systems.

See Voter Satisfaction Efficiency FAQ for an explanation of the methods and results.

Installing the code

Requirements: python3, scipy, pydoc

Testing uses pydoc, which should make most things pretty self-documenting.

E.g.:

python3 -m doctest methods.py
python3 -m doctest voterModels.py
python3 -m doctest dataClasses.py
python3 vse.py

Running simulations

Try

$ python3
>>> from vse import CsvBatch, baseRuns, Mav, medianRuns, Score
>>> from voterModels import PolyaModel
>>> csvs = CsvBatch(PolyaModel(), [[Score(), baseRuns], [Mav(), medianRuns]], nvot=5, ncand=4, niter=3)
>>> csvs.saveFile()

and look for the results in SimResults1.csv

About

Methods for running simulations to calculate Voter Satisfaction Efficiency (VSE) of various voting systems in various conditions.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 93.4%
  • R 6.6%