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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) <doi:10.48550/arXiv.2206.01779>.
Package details |
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Author | Ignacio Martinez [aut, cre] (<https://orcid.org/0000-0002-3721-8172>), Jaume [aut] |
Maintainer | Ignacio Martinez <ignacio@martinez.fyi> |
License | Apache License 2.0 |
Version | 1.0 |
URL | https://github.com/google/bsynth https://arxiv.org/abs/2206.01779 |
Package repository | View on CRAN |
Installation |
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