bgsmtr: Bayesian Group Sparse Multi-Task Regression

Fits a Bayesian group-sparse multi-task regression model using Gibbs sampling. The hierarchical prior encourages shrinkage of the estimated regression coefficients at both the gene and SNP level. The model has been extended to a spatial model that allows for two type correlation in neuroimaging genetics data and been applied successfully to imaging phenotypes of dimension up to 100; it can be used more generally for multivariate (non-imaging) phenotypes.

Getting started

Package details

AuthorYin Song, Shufei Ge, Liangliang Wang, Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance
MaintainerYin Song <[email protected]>
Package repositoryView on CRAN
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bgsmtr documentation built on Aug. 26, 2018, 5:03 p.m.