Metadata-Version: 2.1
Name: EnvCausal
Version: 0.3.4
Summary: A Causal Inference Framework for Environmental Data Analysis
Home-page: https://github.com/kangqiao-ctrl/EnvCausal
Author: kangqiao-ctrl
Author-email: qiaok@mun.ca
License: MIT
Description: # EnvCausal
        A Causal Inference Framework for Environmental Data Analysis
        
        This repository contains all the necessary data and custom Python scripts to reproduce the results in the paper "Machine Learning–Aided Causal Inference Framework for Environmental Data Analysis: A COVID-19 Case Study".
        
        Jupyter Notebook examples will be uploaded in future releases.
        
        ## Install
        `pip install EnvCausal`
        
        ## Script descriptions
          _clustering.py_ -- A PCA-then-k-means clustering pipeline.</br>
          _causal_estimate.py_ -- A dowhy package wrapper, results will be written in a txt file<sup>1</sup>. </br>
          _recover_network.py_ -- A SAM model for Bayesian network recovery, adjacent matrix will be returned.  </br>
          _result_plot.py_ -- A couple of functions for result visualization.</br>
        
        <sup>1</sup>Inspired by [Dowhy example: Iterating over multiple refutation tests](https://github.com/microsoft/dowhy/blob/master/docs/source/example_notebooks/dowhy_refuter_notebook.ipynb)</br>
        
        ## Acknowledgements
          This software is based in part on the following packages:</br>
          [DoWhy](https://github.com/microsoft/dowhy)</br>
          [EconML](https://github.com/microsoft/EconML)</br>
          [CausalML](https://github.com/uber/causalml)</br>
          [CausalDiscoveryToolbox](https://github.com/FenTechSolutions/CausalDiscoveryToolbox)</br>
          
          Thanks for the developers' effort on those fascinating causal inference tools!
Platform: UNKNOWN
Description-Content-Type: text/markdown
