Package: SCMs
Title: Specification Curve Analysis for Synthetic Control Methods
Version: 0.1.1
Authors@R: 
  c(person(given = "Zubin",
           family = "Jelveh",
           role = c("aut", "cre"),
           email = "zjelveh@umd.edu")
           )
Author: Zubin Jelveh [aut, cre]
Maintainer: Zubin Jelveh <zjelveh@umd.edu>
License: GPL-3
URL: https://github.com/zjelveh/SCMs
BugReports: https://github.com/zjelveh/SCMs/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: CVXR (>= 1.9.0), ECOSolveR, dplyr (>= 1.0.7), foreach (>=
        1.5.1), ggplot2 (>= 3.3.3), gtable, kernlab, cowplot, optimx,
        data.table, methods, parallel, purrr (>= 0.3.4), R6, stats,
        stringr (>= 1.4.0), tibble (>= 3.1.2), tidyr (>= 1.1.3), utils,
        doParallel, glmnet, gridtext, gridExtra, generics
Description: Estimates synthetic control models while exposing the
        implementation choices that define the synthetic
        counterfactual: how matching variables are constructed, how
        predictor weights are set, which constraints the donor weights
        satisfy (simplex, lasso, ridge, penalized), whether an
        intercept is included, and which outcome model corrects for
        bias (OLS, ridge, lasso, augmented synthetic control). Runs
        specification-curve analysis over a grid of these choices
        (Simonsohn, Simmons and Nelson (2020)
        <doi:10.1038/s41562-020-0912-z>), with placebo-in-space and
        bootstrap inference for single specifications and placebo
        inference for the curve as a whole, and uses 'xgboost' models
        with SHAP values (Lundberg and Lee (2017)
        <doi:10.48550/arXiv.1705.07874>) to show which choices drive
        the estimates. Methods follow Abadie, Diamond and Hainmueller
        (2010) <doi:10.1198/jasa.2009.ap08746>, Abadie (2021)
        <doi:10.1257/jel.20191450>, Ben-Michael, Feller and Rothstein
        (2021) <doi:10.1080/01621459.2021.1929245> and Chen and
        Guestrin (2016) <doi:10.1145/2939672.2939785>.
Suggests: testthat (>= 3.0.0), clarabel, broom, xgboost, knitr,
        rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.1
NeedsCompilation: no
Packaged: 2026-11-05 01:30:18 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-11-04 21:40:13 UTC
RemoteUrl: https://github.com/cran/SCMs
RemoteRef: HEAD
RemoteSha: 45446e0307909a174cabf298b17e655f53b84148