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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 |
| Reference manual: | MetaHD.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.