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Analyzing state transitions with marginal models

This repository contains a Python module for running numerical experiments that analyze state transitions in sequential data. The paper describing this procedure can be found here.

Requirements

The module requires a Python installation with NumPy and statsmodels. It has been tested on Python 3.8.

Usage

The default parameters of the run_simulations function execute experiment 1, while the parameters for experiment 2 are contained in the docstring.