Welcome to CausalTensor's documentation!
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**CausalTensor** is a Python library for doing causal inference and policy evaluation using panel data.
It addresses questions like "What is the impact of strategy X to outcome Y" given time-series data colleting from multiple units. 
Answering such questions has wide range of applications from econometrics, operations research, business analytics, polictical science, to healthcare. 

Check out the :doc:`usage` section for further information.

.. note::

   This project is under active development.

Contents
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.. toctree::
   :maxdepth: 2
   :caption: Getting Started

   usage

.. toctree::
   :maxdepth: 1
   :caption: Tutorials

   tutorials/01_real_observed_panels
   tutorials/02_synthetic_dgp
   tutorials/03_semi_synthetic_benchmarks
   tutorials/04_inspecting_results

.. toctree::
   :maxdepth: 2
   :caption: Reference

   api
   ref
   changelog