Package: scpi 4.0.0

scpi: Synthetic Control Methods

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>.

Authors:Matias D. Cattaneo [aut, cre], Yingjie Feng [aut], Filippo Palomba [aut], Rocio Titiunik [aut]

scpi_4.0.0.tar.gz
scpi_4.0.0.zip(r-4.7)scpi_4.0.0.zip(r-4.6)scpi_4.0.0.zip(r-4.5)
scpi_4.0.0.tgz(r-4.6-any)scpi_4.0.0.tgz(r-4.5-any)
scpi_4.0.0.tar.gz(r-4.7-any)scpi_4.0.0.tar.gz(r-4.6-any)
scpi_4.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
scpi/json (API)

# Install 'scpi' in R:

install.packages('scpi', repos = c('https://mdcattaneo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nppackages/scpi/issues

Datasets:

scpi_germany - Replication Dataset for Estimating the Economic Impact of German Reunification

On CRAN:

1.83 score 2.2k downloads 6 exports 79 dependencies

Last updated from:4e9a0089d9. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	220
source / vignettes	OK	213
linux-release-x86_64	OK	216
macos-release-arm64	OK	119
macos-oldrel-arm64	OK	127
windows-devel	OK	139
windows-release	OK	161
windows-oldrel	OK	143
wasm-release	OK	141

Exports:scdata scdataMulti scest scpi scplot scplotMulti

Dependencies:abind backports boot checkmate clarabel cli codetools conquer corpcor cpp11 cubature CVXR data.table doSNOW dplyr ECOSolveR farver fastDummies foreach Formula generics ggplot2 glmx glue gmp gtable gtools highs isoband iterators KernSmooth labeling lattice lifecycle lmtest magrittr MASS Matrix MatrixModels matrixStats mvtnorm np numDeriv osqp pillar pkgconfig plyr purrr Qtools quadprog quantdr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reshape2 rlang S7 sandwich scales scs slam snow SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr zoo

Help page	Topics
'scpi': A Package to Compute Synthetic Control Prediction Intervals With Multiple Treated Units and Staggered Adoption	scpi-package
Coef Method for Synthetic Control Methods	coef.scest
Coef Method for Synthetic Control Methods	coef.scpi
Summary Method for Synthetic Control	print.scdata
Summary Method for Synthetic Control	print.scdataMulti
Print Method for Synthetic Control Methods	print.scest
Print Method for Synthetic Control Inference	print.scpi
Data Preparation for 'scest' or 'scpi' for Point Estimation and Inference Procedures Using Synthetic Control Methods.	scdata
Data Preparation for 'scest' or 'scpi' for Point Estimation and Inference Procedures Using Synthetic Control Methods.	scdataMulti
Prediction of Synthetic Control	scest
Prediction Intervals for Synthetic Control Methods	scpi
Replication Dataset for Estimating the Economic Impact of German Reunification	scpi_germany
Plot Synthetic Control Point Estimates and Prediction Interval	scplot
Plot Synthetic Control Point Estimates and Prediction Interval With Multiple Treated units and Staggered Adoption	scplotMulti
Summary Method for Synthetic Control Prediction	summary.scdata
Summary Method for Synthetic Control Prediction	summary.scdataMulti
Summary Method for Synthetic Control Prediction	summary.scest
Summary Method for Synthetic Control Inference	summary.scpi

Package: scpi 4.0.0

scpi: Synthetic Control Methods

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)