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.

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

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.