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bmass  

Bayesian Multivariate Analysis of Summary Statistics
View on CRAN: Click here


Download and install bmass package within the R console
Install from CRAN:
install.packages("bmass")

Install from Github:
library("remotes")
install_github("cran/bmass")

Install by package version:
library("remotes")
install_version("bmass", "1.0.3")



Attach the package and use:
library("bmass")
Maintained by
Michael Turchin
[Scholar Profile | Author Map]
First Published: 2019-05-17
Latest Update: 2019-05-17
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) .
How to cite:
Michael Turchin (2019). bmass: Bayesian Multivariate Analysis of Summary Statistics. R package version 1.0.3, https://cran.r-project.org/web/packages/bmass. Accessed 09 May. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for bmass
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