Synthetic Control Changes-in-Changes Estimator R package sccic version 0.1.1 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 both the continuous CIC estimator (Theorem 3.1) and the discrete CIC estimator (Theorem 4.1) for integer-valued outcomes, with analytic and bootstrap inference. Also 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. Software Depends: R (>= 3.5.0) Imports: glmnet, stats Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2, wooldridge, qte, Synth Neil Hwang <neil.hwang@bcc.cuny.edu> Comprehensive R Archive Network (CRAN) Neil Hwang [aut, cre] GPL (>= 3) 2026-04-10 application/tgz https://CRAN.R-project.org/package=sccic doi:10.32614/CRAN.package.sccic