Package: scpi 2.2.5

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) <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 (2022) <arxiv:2202.05984>.

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

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scpi/json (API)

Peer review:

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

On CRAN:

6 exports 0.09 score 80 dependencies 18 scripts 295 downloads

Last updated 11 months agofrom:9eefe222c5. Checks:OK: 7. Indexed: yes.

Exports:scdatascdataMultiscestscpiscplotscplotMulti

Dependencies:abindbitbit64bootclarabelclicodetoolscolorspaceconquercpp11cubatureCVXRdata.tabledoSNOWdplyrdrECOSolveRfansifarverfastDummiesforeachFormulagenericsggplot2glmxgluegmpgtablegtoolsisobanditeratorsKernSmoothlabelinglatticelifecyclelmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmunsellmvtnormnlmenpnumDerivosqppillarpkgconfigplyrpurrrQtoolsquadprogquantdrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangRmpfrsandwichscalesscssnowSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo