DESCRIPTION

Package: simGWAS
Type: Package
Title: Fast Simulation of Large Case-Control GWAS Summary Statistics
Version: 0.2.0-4
Date: 2021-05-21
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'
    'testdata.R'
	'RcppExports.R'
LinkingTo: Rcpp
Imports:
    Rcpp,
    dplyr,
    combinat,
    corpcor,
    mvtnorm
RoxygenNote: 7.1.1
Suggests: 
    knitr,
    markdown,
    rmarkdown,
    testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/chr1swallace/simGWAS
BugReports: https://github.com/chr1swallace/simGWAS/issues
Config/testthat/edition: 3