bgsmtr: Bayesian Group Sparse Multi-Task Regression

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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.

Author
Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance
Date of publication
2016-10-04 17:49:35
Maintainer
Farouk S. Nathoo <nathoo@uvic.ca>
License
GPL-2
Version
0.1

View on CRAN

Man pages

bgsmtr
Bayesian Group Sparse Multi-Task Regression for Imaging...
bgsmtr_example_data
Example Structural Neuroimaging and Genetic Data

Files in this package

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