# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "ppsynth" in publications use:' type: software license: MIT title: 'ppsynth: Partial-Pooling Synthetic Control with Multiple Outcomes' version: 0.2.1 abstract: 'Synthetic control for studies with several outcomes. Each outcome receives its own donor weights, their dispersion around a common centroid is penalized, no single penalty is ever selected (the estimator aggregates over a penalty grid by leave-one-out exponential weighting), and the resulting mass profile reports how much pooling the data support. One call returns the per-outcome effects, the weights, the realized pooling, and whole-pipeline placebo p-values. Implements the estimator of Grier (2026) "Correlated Weights: Partial Pooling for Synthetic Control with Multiple Outcomes" , the common-weights corner of which is the estimator of Sun, Ben-Michael and Feller (2025) . The compiled engine and a pure-R reference engine are certified against the Python engine behind the ''Stata'' command ''ppsynth''.' authors: - family-names: Grier given-names: Kevin B. email: kevin.grier@ttu.edu preferred-citation: type: unpublished title: 'Correlated Weights: Partial Pooling for Synthetic Control with Multiple Outcomes' authors: - family-names: Grier given-names: Kevin B. email: kevin.grier@ttu.edu year: '2026' notes: Working paper, Texas Tech University url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7149398 repository: https://cran.r-universe.dev repository-code: https://github.com/angusgrier/PPSYNTH commit: e60c21bd277e2842b5173f75a1aba80a6d1e88ee url: https://github.com/angusgrier/PPSYNTH date-released: '2026-10-24' contact: - family-names: Grier given-names: Kevin B. email: kevin.grier@ttu.edu