https://yo5uke.r-universe.devRecent package updates in yo5ukeR-universehttps://github.com/yo5uke.pnghttps://yo5uke.r-universe.devThu, 11 Jun 2026 13:46:46 GMTyosuke.abe0507@gmail.com (Yosuke Abe)Provides tools for difference-in-differences (DiD) estimation and visualization with staggered adoption. Includes run_es() for event-study curves (dynamic effects by relative time) and calc_att() for aggregated ATT estimation (overall, by cohort, by calendar time). Supports multiple modern estimators: Callaway-Sant'Anna (2021), Sun-Abraham (2021), Borusyak-Jaravel-Spiess (2024), Wooldridge TWM, and Deb et al. FLEX.https://github.com/r-universe/yo5uke/actions/runs/27356146209Thu, 11 Jun 2026 13:46:46 GMTfixes0.11.2successhttps://yo5uke.r-universe.devhttps://github.com/yo5uke/fixesfixes-intro.Rmdfixes-intro.htmlIntroduction to fixes2025-03-17 11:27:222026-05-10 02:56:57yosuke.abe0507@gmail.com (Yosuke Abe)A unified 'Formula' interface to the Synthetic Control Method (SCM) and related panel-data causal inference estimators: Synthetic Difference-in-Differences (SDID), Generalized Synthetic Control (GSC), Matrix Completion (MC), Time-Aware Synthetic Control (TASC), and Synthetic Interventions (SI), together with an experimental-design variant. Computational bottlenecks (quadratic programming, singular value decomposition, and Kalman filtering) are implemented in 'C++' via 'RcppArmadillo'. Methods are described in Abadie, Diamond and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746>, Arkhangelsky, Athey, Hirshberg, Imbens and Wager (2021) <doi:10.1257/aer.20190159>, Xu (2017) <doi:10.1017/pan.2016.2>, Athey, Bayati, Doudchenko, Imbens and Khosravi (2021) <doi:10.1080/01621459.2021.1891924>, and Agarwal, Shah and Shen (2025) <doi:10.1287/opre.2025.1590>.https://github.com/r-universe/yo5uke/actions/runs/27463597526Thu, 11 Jun 2026 11:38:26 GMTcoresynth0.2.1successhttps://yo5uke.r-universe.devhttps://github.com/yo5uke/coresynthcoresynth.Rmdcoresynth.htmlGet started with coresynth2026-05-31 03:22:582026-06-06 06:51:44