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scpi  

Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
View on CRAN: Click here


Download and install scpi package within the R console
Install from CRAN:
install.packages("scpi")

Install from Github:
library("remotes")
install_github("cran/scpi")

Install by package version:
library("remotes")
install_version("scpi", "3.0.0")



Attach the package and use:
library("scpi")
Maintained by
Filippo Palomba
[Scholar Profile | Author Map]
First Published: 2022-02-23
Latest Update: 2023-11-01
Description:
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) for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2022) .
How to cite:
Filippo Palomba (2022). scpi: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption. R package version 3.0.0, https://cran.r-project.org/web/packages/scpi. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.1 (2022-02-23 20:30), 0.2.1 (2022-03-24 00:10), 1.0.0 (2022-09-08 14:30), 2.0.0 (2022-10-10 07:40), 2.0.1 (2022-11-21 17:50), 2.1.0 (2022-12-25 08:20), 2.2.1 (2023-03-15 13:50), 2.2.2 (2023-04-21 00:10), 2.2.3 (2023-05-11 09:10), 2.2.4 (2023-05-20 08:50), 2.2.5 (2023-11-01 07:10), 2.2.6 (2024-11-12 00:40)
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Complete documentation for scpi
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