Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting R package MetaHunt version 0.1.0 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) <doi:10.48550/arXiv.2604.23847>. Software Depends: R (>= 4.0) Imports: quadprog, DirichletReg, stats, graphics, grDevices, withr Suggests: grf, knitr, rmarkdown, testthat (>= 3.0.0) Wenqi Shi <wenqishi18@gmail.com> Comprehensive R Archive Network (CRAN) Wenqi Shi [aut, cre], Kosuke Imai [aut], Yi Zhang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=MetaHunt/LICENSE) 2026-05-12 application/tgz https://CRAN.R-project.org/package=MetaHunt doi:10.32614/CRAN.package.MetaHunt