Package: MetaHD 0.1.3

Jayamini Liyanage

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/>.

Authors:Jayamini Liyanage [aut, cre], Alysha De Livera [aut]

MetaHD_0.1.3.tar.gz
MetaHD_0.1.3.tar.gz(r-4.5-noble)MetaHD_0.1.3.tar.gz(r-4.4-noble)
MetaHD.pdf |MetaHD.html✨
MetaHD/json (API)

# Install 'MetaHD' in R:
install.packages('MetaHD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • realdata - An Individual-Level Metabolomics Dataset
  • simdata.1 - Simulated Dataset 1 : With Complete Data
  • simdata.2 - Simulated Dataset 2 : With Data Missing-At-Random

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.60 score 162 downloads 2 exports 34 dependencies

Last updated 3 months agofrom:95fb6b1d64. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 24 2024
R-4.5-linux-x86_64OKDec 24 2024

Exports:MetaHDMetaHDInput

Dependencies:clicorpcorcpp11dplyrfansigenericsgluelatticelifecyclemagrittrmathjaxrMatrixmatrixcalcmetadatmetafornlmenloptrnumDerivpbapplypillarpkgconfigpurrrR6RcppRcppArmadillorlangstringistringrtibbletidyrtidyselectutf8vctrswithr