MetaHD: A Multivariate Meta-Analysis Model for High-Dimensional Data

Performs multivariate meta-analysis for high-dimensional data to integrate and collectively analyse individual-level data from multiple studies, as well as to combine summary estimates. This approach accounts for correlation between outcomes, incorporates within‑ and between‑study variability, handles missing values, and uses shrinkage estimation to accommodate high dimensionality. The 'MetaHD' R package provides access to our multivariate meta-analysis approach, along with a comprehensive suite of existing meta-analysis methods, including fixed-effects and random-effects models, Fisher’s method, Stouffer’s method, the weighted Z method, Lancaster’s method, the weighted Fisher’s method, and vote-counting approach. A detailed vignette with example datasets and code for data preparation and analysis is available at <https://alyshadelivera.github.io/MetaHD_vignette/>.

Version:	0.1.4
Depends:	R (≥ 3.5.0)
Imports:	dplyr, tidyr, metafor, corpcor, nloptr, Matrix, matrixcalc, Rcpp (≥ 1.0.0), dynamicTreeCut, future.apply, metapro, metap
LinkingTo:	Rcpp, RcppArmadillo
Published:	2026-02-05
DOI:	10.32614/CRAN.package.MetaHD
Author:	Jayamini Liyanage [aut, cre], Alysha De Livera [aut], Luke Prendergast [aut]
Maintainer:	Jayamini Liyanage <j.liyanage at latrobe.edu.au>
License:	GPL-3
NeedsCompilation:	yes
In views:	MetaAnalysis
CRAN checks:	MetaHD results

Documentation:

Reference manual:

MetaHD.html , MetaHD.pdf

Downloads:

Package source:	MetaHD_0.1.4.tar.gz
Windows binaries:	r-devel: MetaHD_0.1.4.zip, r-release: MetaHD_0.1.4.zip, r-oldrel: MetaHD_0.1.4.zip
macOS binaries:	r-release (arm64): MetaHD_0.1.4.tgz, r-oldrel (arm64): MetaHD_0.1.4.tgz, r-release (x86_64): MetaHD_0.1.4.tgz, r-oldrel (x86_64): MetaHD_0.1.4.tgz
Old sources:	MetaHD archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MetaHD to link to this page.