simGWAS
Fast Simulation of Large Case-Control GWAS Summary Statistics

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simGWAS: Fast Simulation of Large Case-Control GWAS Summary Statistics

simGWAS: Fast Simulation of Large Case-Control GWAS Summary Statistics

Simulating output from a case-control genome wide association study (GWAS) with a given causal model. Fortune and Wallace (2019) <doi:10.1093/bioinformatics/bty898>.

Getting started

README.md Simulating GWAS data, a walkthrough

Browse package contents

Vignettes Man pages API and functions Files

Package details
AuthorMary Fortune [aut], Chris Wallace [aut, cre], Marcus Klarqvist [ctb]
MaintainerChris Wallace <cew54@cam.ac.uk>
LicenseGPL
Version0.2.0-2
URL https://github.com/chr1swallace/simGWAS 
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R: 
install.packages("simGWAS")

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simGWAS documentation built on Aug. 22, 2019, 9:03 a.m.

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