Package: bgsmtr
Title: Bayesian Group Sparse Multi-Task Regression
Version: 0.3
Description: 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 extended to a 
    spatial model that allows for two type correlation in neuroimaging genetics data and 
    been applied successfully to imaging phenotypes of dimension up to 100; it can be used
    more generally for multivariate (non-imaging) phenotypes.
Author: Yin Song, Shufei Ge, Liangliang Wang, Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance
Maintainer: Yin Song <yinsong@uvic.ca>
Depends: R (>= 3.3.0), Matrix (>= 1.2.6), mvtnorm (>=
        1.0.5),matrixcalc(>= 1.0.3), miscTools (>= 0.6.22)
Imports: coda (>= 0.18.1), EDISON (>= 1.1.1),statmod (>=
        1.4.26),methods (>= 3.3.3), sparseMVN (>= 0.2.0),inline (>=
        0.3.15),LaplacesDemon (>= 16.1.0), TargetScore (>=
        1.12.0),mnormt (>= 1.5.4),Rcpp(>= 0.12.14),
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-12-19 00:22:25 UTC; guest1
Repository: CRAN
Date/Publication: 2018-12-19 12:50:04 UTC
