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epiomics  

Analysis of Omics Data in Observational Studies
View on CRAN: Click here


Download and install epiomics package within the R console
Install from CRAN:
install.packages("epiomics")

Install from Github:
library("remotes")
install_github("cran/epiomics")

Install by package version:
library("remotes")
install_version("epiomics", "1.2.0")



Attach the package and use:
library("epiomics")
Maintained by
Jesse Goodrich
[Scholar Profile | Author Map]
First Published: 2023-01-09
Latest Update: 2024-02-26
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) ); and a function for performing a mixtures analysis across all omics features using quantile-based g-Computation (as described by Keil et al., (2019) ).
How to cite:
Jesse Goodrich (2023). epiomics: Analysis of Omics Data in Observational Studies. R package version 1.2.0, https://cran.r-project.org/web/packages/epiomics. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.0.1 (2023-01-09 11:30), 1.0.0 (2023-03-15 21:40), 1.1.0 (2024-02-26 06:30)
Other packages that cited epiomics R package
View epiomics citation profile
Other R packages that epiomics depends, imports, suggests or enhances
Complete documentation for epiomics
Functions, R codes and Examples using the epiomics R package
Some associated functions: epiomics-package . example_data . meet_in_middle . owas . owas_clogit . owas_mixed_effects . owas_qgcomp . volcano_owas . 
Some associated R codes: epiomics-package.R . example_data.R . meet_in_middle.R . owas.R . owas_clogit.R . owas_mixed_effects.R . owas_qgcomp.R . volcano_owas.R .  Full epiomics package functions and examples
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