Package: simGWAS
Type: Package
Title: Fast Simulation of Large Case-Control GWAS Summary Statistics
Version: 0.2.0-2
Date: 2019-08-19
Authors@R: c(person("Mary", "Fortune", role=c("aut"), email = "mdf34@cam.ac.uk"),
    person("Chris","Wallace", role=c("aut","cre"), email="cew54@cam.ac.uk"),
    person("Marcus", "Klarqvist", role=c("ctb")))
Author: Mary Fortune [aut],
  Chris Wallace [aut, cre],
  Marcus Klarqvist [ctb]
Maintainer: Chris Wallace <cew54@cam.ac.uk>
Description: 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>.
License: GPL
LazyLoad: yes
OS_type: unix
Collate: 'simGWAS.R' 'compute_gamma0.R' 'vbeta.R' 'zscore.R'
        'extractsnps.R' 'make_dataset.R' 'make_GenoProbList.R'
        'RcppExports.R'
LinkingTo: Rcpp
Imports: Rcpp, dplyr, combinat, corpcor, mvtnorm
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/chr1swallace/simGWAS
BugReports: https://github.com/chr1swallace/simGWAS/issues
NeedsCompilation: yes
Packaged: 2019-08-20 21:01:25 UTC; chris
Repository: CRAN
Date/Publication: 2019-08-22 08:20:02 UTC
