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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

0.4.0 (2020-01-08)

  • Add image_distribution: estimate the distribution of f(something) for a random something.

  • Update the tutorial on mass simulations with this new feature.

0.3.0 (2020-01-08)

  • Add new random generators:

    • GeneratorExamples: run another generator until the generated object meets a given test.

    • GeneratorStrategyOrdinalUniform: draw a StrategyOrdinal uniformly.

    • GeneratorProfileOrdinalGridUniform: draw a ProfileOrdinal uniformly on a grid of rational numbers.

    • GeneratorTauVectorGridUniform: draw a TauVector uniformly on a grid of rational numbers.

  • Utilities:

    • Add rand_integers_fixed_sum: draw an array of integers with a given sum.

    • Add rand_simplex_grid: draw a random point in the simplex, with rational coordinates of a given denominator.

    • Update probability: allow for a tuple of generators.

  • Tutorials:

    • Add a tutorial on asymptotic developments.

    • Update the tutorial on mass simulations with the new features.

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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