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

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
CRAN checks:	MetaHD results

Documentation:

Reference manual:

MetaHD.pdf

Downloads:

Package source:	MetaHD_0.1.3.tar.gz
Windows binaries:	r-devel: MetaHD_0.1.3.zip, r-release: MetaHD_0.1.3.zip, r-oldrel: MetaHD_0.1.3.zip
macOS binaries:	r-release (arm64): MetaHD_0.1.3.tgz, r-oldrel (arm64): MetaHD_0.1.3.tgz, r-release (x86_64): MetaHD_0.1.3.tgz, r-oldrel (x86_64): MetaHD_0.1.3.tgz
Old sources:	MetaHD archive

Linking:

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