bmass: Bayesian Multivariate Analysis of Summary Statistics

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>.

Package details

AuthorMichael Turchin [aut, cre], Matthew Stephens [aut], Peter Carbonetto [ctb]
MaintainerMichael Turchin <[email protected]>
LicenseGPL (>= 3)
Version1.0.3
URL https://github.com/mturchin20/bmass
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bmass")

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bmass documentation built on May 17, 2019, 9:02 a.m.