bgsmtr (0.5)

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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 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.

Maintainer: Yin Song
Author(s): Yin Song, Shufei Ge, Liangliang Wang, Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance

License: GPL-2

Uses: CholWishart, coda, EDISON, inline, LaplacesDemon, Matrix, miscTools, mnormt, mvtnorm, sparseMVN, statmod

Released 10 months ago.

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