Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplextype constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://nppackages.github.io/references/CattaneoFengTitiunik_2021_JASA.pdf> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) <arXiv:2210.05026> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2022) <arXiv:2202.05984>.
Package details 


Author  Matias Cattaneo [aut], Yingjie Feng [aut], Filippo Palomba [aut, cre], Rocio Titiunik [aut] 
Maintainer  Filippo Palomba <fpalomba@princeton.edu> 
License  GPL2 
Version  2.2.5 
URL  https://nppackages.github.io/scpi/ 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.