Name Mode Size
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EpipwR.Rd 100644 1 kb
EpipwR_plot.Rd 100644 1 kb
get_power_cc.Rd 100644 4 kb
get_power_cont.Rd 100644 4 kb
README.md
# EpipwR EpipwR is an R package for conducting power analysis for EWAS with continuous or binary outcomes. It is based on empirical EWAS to generate realistic data sets while leveraging classic statistical theory to cut down on computation time. Our corresponding paper is currently under review at Bioinformatics Advances. # Installation EpipwR currently requires R version 4.4.0 or later. ``` #Bioconductor if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("EpipwR") #github #install.packages("devtools") library(devtools) install_github("jbarth216/EpipwR.data") install_github("jbarth216/EpipwR", build_vignettes=TRUE) ``` # Usage A detailed EpipwR workflow can be found in the EpipwR vignette: ``` browseVignettes("EpipwR") ```