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. 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/>.
| Version: |
0.1.5 |
| 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, BiocManager, testthat (≥ 3.0.0) |
| Published: |
2026-07-08 |
| 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 [issues need fixing before 2026-07-22] |
Documentation:
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