Encoding: UTF-8
Type: Package
Package: bmass
Version: 1.0.3
Date: 2019-05-15
Title: Bayesian Multivariate Analysis of Summary Statistics
Authors@R: c(person("Michael","Turchin",email = "mturchin20@uchicago.edu",
                    role=c("aut","cre")),
             person("Matthew","Stephens",email = "mstephens@uchicago.edu",
	            role = "aut"),
             person("Peter","Carbonetto",role="ctb"))
Description: Multivariate tool for analyzing genome-wide association
        study results in the form of univariate summary statistics. The
        goal of 'bmass' is to comprehensively test all possible
        multivariate models given the phenotypes and datasets provided.
        Multivariate models are determined by assigning each phenotype
        to being either Unassociated (U), Directly associated (D) or
        Indirectly associated (I) with the genetic variant of interest.
        Test results for each model are presented in the form of Bayes
        factors, thereby allowing direct comparisons between models.
        The underlying framework implemented here is based on the
        modeling developed in "A Unified Framework for Association
        Analysis with Multiple Related Phenotypes", M. Stephens (2013)
        <doi:10.1371/journal.pone.0065245>.
License: GPL (>= 3)
URL: https://github.com/mturchin20/bmass
BugReports: https://github.com/mturchin20/bmass/issues
Depends: R (>= 3.3.0)
Imports: utils, stats
Suggests: testthat, knitr, rmarkdown
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Repository: https://mturchin20.r-universe.dev
Date/Publication: 2020-09-17 18:53:31 UTC
RemoteUrl: https://github.com/mturchin20/bmass
RemoteRef: HEAD
RemoteSha: 37217848858f8c41d03aed503e97ae5f79a071a3
Packaged: 2026-10-06 08:50:47 UTC; root
Author: Michael Turchin [aut, cre],
  Matthew Stephens [aut],
  Peter Carbonetto [ctb]
Maintainer: Michael Turchin <mturchin20@uchicago.edu>