A Multivariate Meta-Analysis Model for High-Dimensional Data R package MetaHD version 0.1.6 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) 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. Visualisation tools are provided for interpreting and comparing results across methods, including Venn diagrams, UpSet plots, and ROC curves, heatmaps of pooled effect sizes and correlations among outcomes. A detailed vignette with example datasets and code for data preparation and analysis is available at <https://alyshadelivera.github.io/MetaHD_vignette/>. Software Depends: R (>= 4.4.0) Imports: dplyr, tidyr, metafor, corpcor, nloptr, Matrix, matrixcalc, Rcpp (>= 1.0.0), dynamicTreeCut, cluster, future.apply, metapro, metap, UpSetR, pROC, graphics, grDevices, tools, ComplexHeatmap, circlize LinkingTo: Rcpp, RcppArmadillo Suggests: gVenn, testthat (>= 3.0.0) Jayamini Liyanage <j.liyanage@latrobe.edu.au> Comprehensive R Archive Network (CRAN) Jayamini Liyanage [aut, cre], Alysha De Livera [aut], Luke Prendergast [aut] GPL-3 2026-07-09 application/tgz https://CRAN.R-project.org/package=MetaHD doi:10.32614/CRAN.package.MetaHD