Implements the Bayesian Synthetic Control method for causal inference
in comparative case studies. This package provides tools for estimating
treatment effects in settings with a single treated unit and multiple control
units, allowing for uncertainty quantification and flexible modeling of
time-varying effects. The methodology is based on the paper by Vives and
Martinez (2022)
bsynth provides causal inference with a Bayesian synthetic control method.
See CONTRIBUTING.md for details.
Apache 2.0; see LICENSE for details.
This project is not an official Google project. It is not supported by Google and Google specifically disclaims all warranties as to its quality, merchantability, or fitness for a particular purpose.
As of 2021-08-21, this package is under development. Please report bugs.