wcrump/GWASP: GWAS with PCA

Perform GWAS using GLM incorporating PCs and additional covariates. User-supplied covariate data and a user-specified number of non-linear dependent PCs are incorporated into a general linear model to better account of population structure.

Getting started

Package details

AuthorElliott Marston & William Crump
MaintainerThe package maintainer <william.crump@wsu.edu>
LicenseWhat license is it under?
Version0.1.0
URL Tutorials: https://wcrump.github.io/GWASP/Tutorials/GWASP.Tutorial.html FAQ: https://wcrump.github.io/GWASP/FAQ/FAQ.html
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("wcrump/GWASP")
wcrump/GWASP documentation built on April 4, 2020, 5:54 a.m.