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  "Authors@R": "person(\"Kevin B.\", \"Grier\", email = \"kevin.grier@ttu.edu\",\nrole = c(\"aut\", \"cre\"))",
  "Description": "Synthetic control for studies with several outcomes. Each\noutcome receives its own donor weights, their dispersion around\na common centroid is penalized, no single penalty is ever\nselected (the estimator aggregates over a penalty grid by\nleave-one-out exponential weighting), and the resulting mass\nprofile reports how much pooling the data support. One call\nreturns the per-outcome effects, the weights, the realized\npooling, and whole-pipeline placebo p-values. Implements the\nestimator of Grier (2026) \"Correlated Weights: Partial Pooling\nfor Synthetic Control with Multiple Outcomes\"\n<https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7149398>,\nthe common-weights corner of which is the estimator of Sun,\nBen-Michael and Feller (2025) <doi:10.1162/rest_a_01592>. The\ncompiled engine and a pure-R reference engine are certified\nagainst the Python engine behind the 'Stata' command 'ppsynth'.",
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