bgsmtr (0.7)

0 users

Bayesian Group Sparse Multi-Task Regression.

Implementation of Bayesian multi-task regression models and was developed within the context of imaging genetics. The package can currently fit two models. The Bayesian group sparse multi-task regression model of Greenlaw et al. (2017) can be fit with implementation using Gibbs sampling. An extension of this model developed by Song, Ge et al. to accommodate both spatial correlation as well as correlation across brain hemispheres can also be fit using either mean-field variational Bayes or Gibbs sampling. The model can also be used more generally for multivariate (non-imaging) phenotypes with spatial correlation.

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

License: GPL-2

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

Released about 1 month ago.

6 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of bgsmtr yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for bgsmtr on google, google scholar, r-help, r-devel.

Visit bgsmtr on R Graphical Manual.