Package: scpi 4.0.1

Matias D. Cattaneo

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_4.0.1.tar.gz
scpi_4.0.0.tar.gz(r-4.7-any)scpi_4.0.1.tar.gz(r-4.6-any)
scpi_4.0.1.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://cran.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:

Conda:

2.41 score 64 scripts 879 downloads 6 exports 80 dependencies

Last updated from:d75659a1de. Checks:1 FAIL, 3 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64FAIL123
source / vignettesOK253
linux-release-x86_64OK196
wasm-releaseOK298

Exports:scdatascdataMultiscestscpiscplotscplotMulti

Dependencies:abindbackportsbootcheckmateclarabelclicodetoolsconquercorpcorcpp11crscubatureCVXRdata.tabledoSNOWdplyrECOSolveRfarverfastDummiesforeachFormulagenericsggplot2glmxgluegmpgtablegtoolshighsisobanditeratorsKernSmoothlabelinglatticelifecyclelmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmvtnormnpnumDerivosqppillarpkgconfigplyrpurrrQtoolsquadprogquantdrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreshape2rlangS7sandwichscalesscsslamsnowSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo