Performs multivariate meta-analysis for high-dimensional metabolomics data for integrating and collectively analysing individual-level metabolomics data generated from multiple studies as well as for combining summary estimates. This approach accounts for correlation between metabolites, considers variability within and between studies, handles missing values and uses shrinkage estimation to allow for high dimensionality.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | corpcor, Matrix, matrixcalc, Rcpp (≥ 1.0.0) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2024-06-07 |
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 |
Reference manual: | MetaHD.pdf |
Package source: | MetaHD_0.1.0.tar.gz |
Windows binaries: | r-devel: MetaHD_0.1.0.zip, r-release: MetaHD_0.1.0.zip, r-oldrel: MetaHD_0.1.0.zip |
macOS binaries: | r-release (arm64): MetaHD_0.1.0.tgz, r-oldrel (arm64): MetaHD_0.1.0.tgz, r-release (x86_64): MetaHD_0.1.0.tgz, r-oldrel (x86_64): MetaHD_0.1.0.tgz |
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