Efficient and flexible algorithms for EWAS
library(remotes)
install_github("perishky/ewaff")
- multi-core optional for windows or other debilitated users
- use tableone for output (per model) in EWAS object and report
- EWAS comparison function
- expand EWAS report for multi-variable ewas
- support adjustment for case-control
- flexible batch control
- correlation threshold for association between variable of interest and SVAs
- a function called ewaff.pace() that runs the PACE workflow
- Another way to potentially speed up SVA: https://cran.r-project.org/package=irlba