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Project Description

What PyLogit is

PyLogit is a Python package for performing maximum likelihood estimation of conditional logit models and similar logit-like models.

Main Features

  • Conditional Logit (Type) Models

    • Multinomial Logit Models

    • Multinomial Asymmetric Models

      • Multinomial Clog-log Model
      • Multinomial Scobit Model
      • Multinomial Uneven Logit Model
      • Multinomial Asymmetric Logit Model
    • Nested Logit Models

    • Mixed Logit Models (with Normal mixing distributions)

  • Supports datasets where the choice set differs across observations

  • Supports model specifications where the coefficient for a given variable may be

    • completely alternative-specific (i.e. one coefficient per alternative, subject to identification of the coefficients),
    • subset-specific (i.e. one coefficient per subset of alternatives, where each alternative belongs to only one subset, and there are more than 1 but less than J subsets, where J is the maximum number of available alternatives in the dataset),
    • completely generic (i.e. one coefficient across all alternatives).

Where to get it

Available from PyPi
https://pypi.python.org/pypi/pylogit/0.1.1
Available through Anaconda::
conda install -c timothyb0912 pylogit

For More Information

For more information about the asymmetric models that can be estimated with PyLogit, see the following paper
Brathwaite, Timothy, and Joan Walker. “Asymmetric, Closed-Form, Finite-Parameter Models of Multinomial Choice.” arXiv preprint arXiv:1606.05900 (2016). http://arxiv.org/abs/1606.05900

Attribution

If PyLogit (or its constituent models) is useful in your research or work, please cite this package by citing the paper above.

License

Modified BSD (3-clause)

Release History

Release History

0.1.1

This version

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0.1.0

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0.0.0

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pylogit-0.1.1-py2-none-any.whl (122.8 kB) Copy SHA256 Checksum SHA256 py2 Wheel Aug 30, 2016
pylogit-0.1.1.tar.gz (108.1 kB) Copy SHA256 Checksum SHA256 Source Aug 30, 2016

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