scpi
Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) https://nppackages.github.io/references/Cattaneo-Feng-Titiunik_2021_JASA.pdf for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) doi:10.48550/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 (2024) doi:10.48550/arXiv.2202.05984.
- Version3.0.0
- R versionR (≥ 4.1.0)
- LicenseGPL-2
- Needs compilation?No
- Last release01/31/2025
Documentation
Team
Filippo Palomba
MaintainerShow author detailsYingjie Feng
Show author detailsRolesAuthorMatias Cattaneo
Show author detailsRolesAuthorRocio Titiunik
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 399 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 23 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 5,164 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Aug 27, 2024 with 120 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports18 packages
- Suggests1 package