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: 1.0.0
Depends: R (≥ 3.5.0)
Imports: data.table, ggplot2, ggrepel, lme4, lmerTest, qgcomp, stats, survival
Suggests: covr, testthat (≥ 3.0.0)
Published: 2023-03-15
Author: Jesse Goodrich ORCID iD [aut, cre]
Maintainer: Jesse Goodrich <jagoodri at usc.edu>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: epiomics results

Documentation:

Reference manual: epiomics.pdf

Downloads:

Package source: epiomics_1.0.0.tar.gz
Windows binaries: r-devel: epiomics_1.0.0.zip, r-release: epiomics_1.0.0.zip, r-oldrel: epiomics_1.0.0.zip
macOS binaries: r-release (arm64): epiomics_1.0.0.tgz, r-oldrel (arm64): epiomics_1.0.0.tgz, r-release (x86_64): epiomics_1.0.0.tgz
Old sources: epiomics archive

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