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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>).

Versions across snapshots

VersionRepositoryFileSize
1.2.0 rolling source/ R- epiomics_1.2.0.tar.gz 340.1 KiB
1.2.0 latest source/ R- epiomics_1.2.0.tar.gz 340.1 KiB
1.2.0 2026-04-23 source/ R- epiomics_1.2.0.tar.gz 340.1 KiB
1.2.0 2026-04-09 windows/windows R-4.5 epiomics_1.2.0.zip 386.2 KiB

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