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>.

Version: 0.2.0-2
Imports: Rcpp, dplyr, combinat, corpcor, mvtnorm
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
OS_type: unix
Published: 2019-08-22
Author: Mary Fortune [aut], Chris Wallace [aut, cre], Marcus Klarqvist [ctb]
Maintainer: Chris Wallace <cew54 at cam.ac.uk>
BugReports: https://github.com/chr1swallace/simGWAS/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/chr1swallace/simGWAS
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: simGWAS results

Downloads:

Reference manual: simGWAS.pdf
Vignettes: Simulating GWAS data, a walkthrough
Package source: simGWAS_0.2.0-2.tar.gz
Windows binaries: r-devel: not available, r-devel-gcc8: not available, r-release: not available, r-oldrel: not available
OS X binaries: r-release: simGWAS_0.2.0-2.tgz, r-oldrel: simGWAS_0.2.0-2.tgz

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