Metadata-Version: 1.0
Name: CausalInference
Version: 0.0.4
Summary: Causal Inference for Python
Home-page: https://github.com/laurencium/CausalInference
Author: Laurence Wong
Author-email: laurencium@gmail.com
License: LICENSE.txt
Description: CausalInference
        ===============
        
        CausalInference is a Python implementation of statistical and econometric
        methods in the field variously known as Causal Inference, Program Evaluation, 
        and Treatment Effect Analysis.
        
        Work on CausalInference started in 2014 by Laurence Wong as a personal side
        project. It is distributed under the 3-Clause BSD license.
        
        The most current development version is hosted on GitHub at:
        https://github.com/laurencium/causalinference
        
        Main Features
        =============
        
        * Estimation of propensity score
        * Assessment of overlap in covariate distributions
        * Improvement of covariate balance through trimming
        * Subclassification on propensity score
        * Estimation of treatment effects via matching, blocking, weighting, and least squares
        
        Dependencies
        ============
        
        * NumPy: 1.8.2 or higher
        * SciPy: 0.13.3 or higher
        
        
Platform: UNKNOWN
