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Poisson Approval studies the Poisson Game of Approval Voting.

Project description

Poisson Approval

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Poisson Approval studies the Poisson Game of Approval Voting.

Features

  • Implement only the case of 3 candidates.
  • Deal with ordinal or cardinal profiles.
  • Compute the asymptotic developments of the probability of pivot events when the number of players tends to infinity.
  • Compute the best response to a given tau-vector.
  • Explore automatically a grid of ordinal profiles or a grid of tau-vectors.
  • Perform Monte-Carlo experiments on profiles or tau-vectors.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.2.1 (2020-01-05)

  • Relaunch deployment.

0.2.0 (2020-01-05)

  • Add GeneratorProfileStrategyThreshold.
  • Add ProfileHistogram.plot_cdf.
  • Modify masks_distribution: remove the trailing zeros. This has the same impact on ProfileOrdinal.distribution_equilibria.
  • Modify NiceStatsProfileOrdinal.plot_cutoff: center the textual indications.
  • Replace all notations r with profile and sigma with strategy.
  • Add tutorials.

0.1.1 (2019-12-24)

  • Convert all the documentation to NumPy format, making it more readable in plain text.

0.1.0 (2019-12-20)

  • First release on PyPI.
  • Implement only the case of 3 candidates.
  • Deal with ordinal or cardinal profiles.
  • Compute the asymptotic developments of the probability of pivot events when the number of players tends to infinity.
  • Compute the best response to a given tau-vector.
  • Explore automatically a grid of ordinal profiles or a grid of tau-vectors.
  • Perform Monte-Carlo experiments on profiles or tau-vectors.

Project details


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