This repository contains materials related to the easyEWAS R package. Below is a description of each file included:
-
easyEWAS-manual.pdf
This document provides detailed explanations for every function and argument in the easyEWAS package. -
benchmark_cores.R
This script tests the optimal number of parallel computing cores for running thestartEWAS()function. -
simulation_CoxPH.R
This script generates simulated data to test the performance of the Cox Proportional Hazards model (CoxPH). -
simulation_GLM.R
This script generates simulated data to test the performance of the General linear model (GLM). -
simulation_LMM.R
This script generates simulated data to test the performance of the Linear Mixed-Effects Model (LMM). -
Install_easyEWAS.R
This script will automatically check your R version, configure the appropriate Bioconductor version, and install all necessary packages (including those from CRAN and Bioconductor) required to use easyEWAS.