# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MetaHunt" in publications use:' type: software license: MIT title: 'MetaHunt: Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting' version: 0.1.0 doi: 10.48550/arXiv.2604.23847 identifiers: - type: url value: https://arxiv.org/abs/2604.23847 abstract: Tools for privacy-preserving meta-analysis of function-valued quantities across heterogeneous studies. Implements the 'MetaHunt' pipeline, including the denoised functional Successive Projection Algorithm (d-fSPA) for basis hunting, constrained weight estimation, Dirichlet regression of weights on study-level covariates, target prediction, and split/cross conformal prediction intervals. Operates on aggregate-level function evaluations, so individual-level data from source studies are not required. Methodology described in Shi, Imai, and Zhang (2026) . authors: - family-names: Shi given-names: Wenqi email: wenqishi18@gmail.com - family-names: Imai given-names: Kosuke email: imai@harvard.edu - family-names: Zhang given-names: Yi email: yizhang0017@gmail.com preferred-citation: type: article title: Privacy-preserving Meta-analysis through Low-Rank Basis Hunting authors: - family-names: Shi given-names: Wenqi email: wenqishi18@gmail.com - family-names: Imai given-names: Kosuke email: imai@harvard.edu - family-names: Zhang given-names: Yi email: yizhang0017@gmail.com journal: arXiv preprint arXiv:2604.23847 year: '2026' url: https://arxiv.org/abs/2604.23847 doi: 10.48550/arXiv.2604.23847 repository: https://cran.r-universe.dev repository-code: https://github.com/WShi18/MetaHunt commit: d0938ee12b9da307dfc623036c9284a7285cc2eb url: https://wshi18.github.io/MetaHunt/ date-released: '2026-05-12' contact: - family-names: Shi given-names: Wenqi email: wenqishi18@gmail.com