Maximum likelihood estimation of conditional logit models
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 Models
* 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/0.0.0
License
=======
Modified BSD (3-clause)
============
PyLogit is a Python package for performing maximum likelihood estimation of conditional logit models and similar logit-like models.
Main Features
===========
* Conditional Logit Models
* 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/0.0.0
License
=======
Modified BSD (3-clause)
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