bgsmtr: Bayesian Group Sparse Multi-Task Regression
Version 0.1

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.

Browse man pages Browse package API and functions Browse package files

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
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bgsmtr")

Man pages

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

Functions

Wang_CV_tuning_values_FUN Source code
Wang_algorithm_FUN Source code
bgsmtr Man page Source code
bgsmtr.cv.mode Source code
bgsmtr.waic Source code
bgsmtr_example_data Man page

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
bgsmtr documentation built on May 20, 2017, 12:46 a.m.