Synthetic Control Methods R package scpi version 4.0.1 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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) <doi:10.1080/01621459.2021.1979561> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2027) <doi:10.1162/rest_a_01588> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2025) <doi:10.18637/jss.v113.i01>. Software Depends: R (>= 4.1.0) Imports: abind (>= 1.4.5), CVXR (> 1.9), doSNOW (>= 1.0.19), dplyr (>= 1.0.7), ECOSolveR (>= 0.5.4), fastDummies (>= 1.6.3), foreach (>= 1.5.1), ggplot2 (>= 3.3.3), magrittr (>= 2.0.1), MASS (>= 7.3), Matrix (>= 1.3.3), methods (>= 4.1.0), parallel (>= 4.1.0), purrr (>= 0.3.4), Qtools (>= 1.5.6), reshape2 (>= 1.4.4), Rdpack (>= 2.4), rlang (>= 0.4.11), stats (>= 4.1.0), stringr (>= 1.4.0), tibble (>= 3.1.2), tidyr (>= 1.1.3), utils (>= 4.1.1) Suggests: testthat (>= 3.0.0) Matias D. Cattaneo <matias.d.cattaneo@gmail.com> Comprehensive R Archive Network (CRAN) Matias D. Cattaneo [aut, cre], Yingjie Feng [aut], Filippo Palomba [aut], Rocio Titiunik [aut] GPL-3 2026-06-10 application/tgz https://CRAN.R-project.org/package=scpi doi:10.32614/CRAN.package.scpi