Causal Inference for Python
Project 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.
The project was started in early 2015 by Laurence Wong as a personal side
project, and is still in early development stage. It is distributed under
the 3-Clause BSD license.
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
===============
CausalInference is a Python implementation of statistical and econometric
methods in the field variously known as Causal Inference, Program Evaluation,
and Treatment Effect Analysis.
The project was started in early 2015 by Laurence Wong as a personal side
project, and is still in early development stage. It is distributed under
the 3-Clause BSD license.
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
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