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epiomics: Analysis of Omics Data in Observational Studies

A collection of fast and flexible functions for analyzing omics data in observational studies. Multiple different approaches for integrating multiple environmental/genetic factors, omics data, and/or phenotype data are implemented. This includes functions for performing omics wide association studies with one or more variables of interest as the exposure or outcome; a function for performing a meet in the middle analysis for linking exposures, omics, and outcomes (as described by Chadeau-Hyam et al., (2010) <doi:10.3109/1354750X.2010.533285>); and a function for performing a mixtures analysis across all omics features using quantile-based g-Computation (as described by Keil et al., (2019) <doi:10.1289/EHP5838>).

Version:	1.2.0
Depends:	R (≥ 4.1.0)
Imports:	data.table,ggplot2,ggrepel,qgcomp, stats,survival
Suggests:	testthat (≥ 3.0.0)
Published:	2025-02-14
DOI:	10.32614/CRAN.package.epiomics
Author:	Jesse Goodrich [aut, cre]
Maintainer:	Jesse Goodrich <jagoodri at usc.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README,NEWS
CRAN checks:	epiomics results

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