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.

Install the latest version of this package by entering the following in R:
install.packages("bgsmtr")
AuthorFarouk S. Nathoo, Keelin Greenlaw, Mary Lesperance
Date of publication2016-10-04 17:49:35
MaintainerFarouk S. Nathoo <nathoo@uvic.ca>
LicenseGPL-2
Version0.1

View on CRAN

Files

NAMESPACE
data
data/bgsmtr_example_data.RData
R
R/all_functions.R R/example-data.R
MD5
DESCRIPTION
man
man/bgsmtr.Rd man/bgsmtr_example_data.Rd

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