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  "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\"),\ncomment = c(ORCID = \"0000-0001-6615-0472\"))",
  "Description": "A collection of fast and flexible functions for analyzing\nomics data in observational studies. Multiple different\napproaches for integrating multiple environmental/genetic\nfactors, omics data, and/or phenotype data are implemented.\nThis includes functions for performing omics wide association\nstudies with one or more variables of interest as the exposure\nor outcome; a function for performing a meet in the middle\nanalysis for linking exposures, omics, and outcomes (as\ndescribed by Chadeau-Hyam et al., (2010)\n<doi:10.3109/1354750X.2010.533285>); and a function for\nperforming a mixtures analysis across all omics features using\nquantile-based g-Computation (as described by Keil et al.,\n(2019) <doi:10.1289/EHP5838>).",
  "License": "GPL (>= 3)",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
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  "Repository": "https://goodrich-lab.r-universe.dev",
  "Date/Publication": "2025-02-14 04:44:14 UTC",
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    "User": "root"
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  "Author": "Jesse Goodrich [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-6615-0472>)",
  "Maintainer": "Jesse Goodrich <jagoodri@usc.edu>",
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  "_published": "2026-10-04T09:30:38.532Z",
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    "author": "Jesse Goodrich <jagoodri@usc.edu>",
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    "description": "Assistant Professor at USC Department of Population and Public Health Sciences",
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      "date": "2024-02-26"
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    "meet_in_middle",
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    "owas_clogit",
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        "exposure2",
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