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MetaHunt  

Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting
View on CRAN: Click here


Download and install MetaHunt package within the R console
Install from CRAN:
install.packages("MetaHunt")

Install from Github:
library("remotes")
install_github("cran/MetaHunt")

Install by package version:
library("remotes")
install_version("MetaHunt", "0.1.0")



Attach the package and use:
library("MetaHunt")
Maintained by
Wenqi Shi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-12
Latest Update: 2026-05-12
Description:
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>.
How to cite:
Wenqi Shi (2026). MetaHunt: Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting. R package version 0.1.0, https://cran.r-project.org/web/packages/MetaHunt. Accessed 27 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited MetaHunt R package
View MetaHunt citation profile
Other R packages that MetaHunt depends, imports, suggests or enhances
Complete documentation for MetaHunt
Functions, R codes and Examples using the MetaHunt R package
Full MetaHunt package functions and examples
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