{ "_id": "6a161c72acfb0bcc41d71f54", "Package": "Synth", "Version": "1.2-0", "Date": "2026-05-04", "Title": "Synthetic Control Group Method for Comparative Case Studies", "Authors@R": "c(person(given = 'Jens', family = 'Hainmueller', role = c('aut','cre'), email = 'jhain@stanford.edu'), person(given = 'Alexis', family = 'Diamond', role = 'aut'))", "Description": "Implements the synthetic control group method for\ncomparative case studies as described in Abadie and Gardeazabal\n(2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014).\nThe synthetic control method allows for effect estimation in\nsettings where a single unit (a state, country, firm, etc.) is\nexposed to an event or intervention. It provides a data-driven\nprocedure to construct synthetic control units based on a\nweighted combination of comparison units that approximates the\ncharacteristics of the unit that is exposed to the\nintervention. A combination of comparison units often provides\na better comparison for the unit exposed to the intervention\nthan any comparison unit alone.", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "License": "GPL (>= 2)", "URL": "https://web.stanford.edu/~jhain/", "Encoding": "UTF-8", "Config/pak/sysreqs": "cmake", "Repository": "https://j-hai.r-universe.dev", "Date/Publication": "2026-05-26 21:23:34 UTC", "RemoteUrl": "https://github.com/j-hai/synth", "RemoteRef": "HEAD", "RemoteSha": "7ad2c8fcdbc230c10af736e8433755f6c5740c08", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-26 22:11:02 UTC", "User": "root" }, "Author": "Jens Hainmueller [aut, cre],\nAlexis Diamond [aut]", "Maintainer": "Jens Hainmueller ", "MD5sum": "be4b296852817e9c4d3583dc57f077c1", "_user": "j-hai", "_type": "src", "_file": "Synth_1.2-0.tar.gz", "_fileid": "80281067bdb40bca80a20948b012d23d5e0fcc25b55c5e1c3b40db5d34358fda", "_filesize": 1195736, "_sha256": "80281067bdb40bca80a20948b012d23d5e0fcc25b55c5e1c3b40db5d34358fda", "_created": "2026-05-26T22:11:02.000Z", "_published": "2026-05-26T22:19:30.688Z", "_distro": "noble", "_jobs": [ { "job": 77968644817, "time": 475, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7227437478" }, { "job": 77968644770, "time": 356, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7227406596" }, { "job": 77968644771, "time": 281, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7227382635" }, { "job": 77968644782, "time": 316, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7227386506" }, { "job": 77967845005, "time": 350, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7227312850" }, { "job": 77968644821, "time": 104, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7227340293" }, { "job": 77968644798, "time": 402, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7227418326" }, { "job": 77968644814, "time": 405, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7227419031" }, { "job": 77968644806, "time": 455, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7227432098" } ], "_buildurl": "https://github.com/r-universe/j-hai/actions/runs/26477832294", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/j-hai/synth", "_commit": { "id": "7ad2c8fcdbc230c10af736e8433755f6c5740c08", "author": "j-hai <115841204+j-hai@users.noreply.github.com>", "committer": "GitHub ", "message": "Fix R CMD check: CVXR 1.8 backend (CLARABEL) and platform-robust QP tests\n\nThe CVXR backend was written against CVXR <= 1.0 and broke under CVXR 1.8.x\n(what CRAN/CI now install), failing R CMD check on every run. Four stacked\nissues:\n\n- Defaulted to the ECOS solver, but ECOSolveR is no longer bundled with CVXR.\n- CVXR 1.8 psolve() returns the objective value (a scalar), not a result list,\n so res$status errored; now read status/value version-defensively.\n- Switched the default solver to CLARABEL, CVXR 1.8's bundled interior-point\n solver, using its solver-agnostic tolerance names; require CVXR (>= 1.8.0).\n- Reworked two platform-fragile tests to compare the QP objective (the true\n invariant) rather than a non-unique downstream MSPE, and loosened the\n objective tolerance to match ipop's sigf=5 precision.\n\nVerified locally against CVXR 1.8.2 + CLARABEL; all five CI matrix jobs\n(macOS, Windows, Ubuntu release/oldrel/devel) pass.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)", "time": 1779830614 }, "_maintainer": { "name": "Jens Hainmueller", "email": "jhain@stanford.edu", "login": "j-hai", "description": "", "uuid": 115841204 }, "_registered": true, 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