Python 3 package for estimating Quantal Response Statistical Equilibrium Models
Note: pyqrse is the early alpha stage of development and subject to change. This site is here as a basic markup on the intended structure
Documentation is under construction. However, the search of functionality and module index are up and running.
The example folder has the following jupyter notebook examples:
We suggest downloading and using the Anaconda Python 3 Distribution, which includes most of the important python scientific computing packages.
pyqrse requires the following standard members of the python scientific computing suite that are included in the Anaconda distribution:
- numpy: computational engine for scientific computing in python
- scipy: advanced math and statistics functionality
- matplotlib: plotting functionality
- seaborn: additional plotting for statistics applications
- pandas: R-like data structures and data analysis tools
- Jupyter Notebook: open source version of Mathematica Notebook
pyqrse requires the following package that is not included in the standard Acaconda distribution:
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Download and install the Anaconda Python 3 Installation.
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Install Autograd in the command line using the conda installer:
$conda install autograd -
Clone the pyqrse directory by clicking on the green button on the upper right side of this webpage or by entering into the command line:
$git clone git@github.com:econokeith/pyqrse.git -
Change the working directory to the location of the folder:
$cd path/to/pyqrse