Package: epiomics
Title: Analysis of Omics Data in Observational Studies
Version: 1.2.0
Authors@R: 
    person("Jesse", "Goodrich", , "jagoodri@usc.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-6615-0472"))
Description: 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>).
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: data.table, ggplot2, ggrepel, qgcomp, stats, survival
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://goodrich-lab.r-universe.dev
Date/Publication: 2025-02-14 04:44:14 UTC
RemoteUrl: https://github.com/goodrich-lab/epiomics
RemoteRef: HEAD
RemoteSha: d71ab603d52c589e011f097a719f81669be652ef
NeedsCompilation: no
Packaged: 2026-10-04 09:25:34 UTC; root
Author: Jesse Goodrich [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6615-0472>)
Maintainer: Jesse Goodrich <jagoodri@usc.edu>