Package: CGEN
Title: An R package for analysis of case-control studies in genetic
        epidemiology
Version: 3.30.0
Date: 2012-10-10
Authors@R: c( 
	person("Samsiddhi", "Bhattacharjee", role = c("aut")),
	person("Nilanjan", "Chatterjee", role = c("aut")),
	person("Summer", "Han", role = c("aut")),
	person("Minsun", "Song", role = c("aut")),
	person("William", "Wheeler", role = c("aut")),
	person("Matthieu", "de Rochemonteix", role = c("aut")),
	person("Nilotpal", "Sanyal", role = c("aut")),
	person("Justin", "Lee", role = c("cre"), email = "jhylee@stanford.edu")
	)
Description: This is a package for analysis of case-control data in genetic epidemiology. 
	It provides a set of statistical methods for evaluating gene-environment (or gene-genes) 
	interactions under multiplicative and additive risk models, with or without assuming 
	gene-environment (or gene-gene) independence in the underlying population.
Imports: stats, graphics, utils, grDevices
Depends: R (>= 4.0), survival, mvtnorm
License: GPL-2 + file LICENSE
Suggests: cluster
biocViews: SNP, MultipleComparison, Clustering
git_url: https://git.bioconductor.org/packages/CGEN
git_branch: RELEASE_3_14
git_last_commit: 15192e1
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: yes
Packaged: 2021-10-27 00:35:50 UTC; biocbuild
Author: Samsiddhi Bhattacharjee [aut],
  Nilanjan Chatterjee [aut],
  Summer Han [aut],
  Minsun Song [aut],
  William Wheeler [aut],
  Matthieu de Rochemonteix [aut],
  Nilotpal Sanyal [aut],
  Justin Lee [cre]
Maintainer: Justin Lee <jhylee@stanford.edu>
Built: R 4.1.1; i386-w64-mingw32; 2021-10-27 10:11:58 UTC; windows
Archs: i386, x64
