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sccic: Synthetic Control Changes-in-Changes Estimator

Implements the Changes-in-Changes (CIC) estimator of Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> combined with synthetic control methods. Provides nonparametric estimation of the entire counterfactual distribution of outcomes for a treated group, allowing evaluation of average, quantile, and distributional treatment effects. Synthetic control weights are constructed via elastic net regularization to handle settings with many potential control units.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: glmnet, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2, wooldridge, qte, Synth
Published: 2026-04-09
DOI: 10.32614/CRAN.package.sccic (may not be active yet)
Author: Neil Hwang [aut, cre]
Maintainer: Neil Hwang <neil.hwang at bcc.cuny.edu>
BugReports: https://github.com/neilhwang/sccic/issues
License: GPL (≥ 3)
URL: https://github.com/neilhwang/sccic
NeedsCompilation: no
CRAN checks: sccic results

Documentation:

Reference manual: sccic.html , sccic.pdf
Vignettes: Introduction to sccic (source, R code)

Downloads:

Package source: sccic_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): sccic_0.1.0.tgz, r-oldrel (x86_64): sccic_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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