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 applied successfully to imaging phenotypes of dimension up to 100; it can be used more generally for multivariate (non-imaging) phenotypes.

Version: 0.1
Depends: R (≥ 3.3.1), Matrix (≥ 1.2.6), mvtnorm (≥ 1.0.5)
Imports: coda (≥ 0.18.1), EDISON (≥ 1.1.1), mnormt (≥ 1.5.4), statmod (≥ 1.4.26), sparseMVN (≥ 0.2.0)
Published: 2016-10-04
Author: Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance
Maintainer: Farouk S. Nathoo <nathoo at>
License: GPL-2
NeedsCompilation: no
CRAN checks: bgsmtr results


Reference manual: bgsmtr.pdf
Package source: bgsmtr_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: bgsmtr_0.1.tgz
OS X Mavericks binaries: r-oldrel: bgsmtr_0.1.tgz


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