Performs multivariate meta-analysis for high-dimensional metabolomics data for integrating and collectively analysing individual-level data generated from multiple studies as well as for combining summary estimates. This approach accounts for correlation between outcomes, considers variability within and between studies, handles missing values and uses shrinkage estimation to allow for high dimensionality. A detailed vignette with example datasets and code to prepare data and analyses are available on <https://bookdown.org/a2delivera/MetaHD/>.
Version: 0.1.3 Depends: R (≥ 3.5.0) Imports: dplyr, tidyr, metafor, corpcor, nloptr, Matrix, matrixcalc, Rcpp (≥ 1.0.0) LinkingTo: Rcpp, RcppArmadillo Published: 2024-09-24 DOI: 10.32614/CRAN.package.MetaHD Author: Jayamini Liyanage [aut, cre], Alysha De Livera [aut] Maintainer: Jayamini Liyanage <j.liyanage at latrobe.edu.au> License: GPL-3 NeedsCompilation: yes In views: MetaAnalysis CRAN checks: MetaHD results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MetaHD to link to this page.
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