| Name : R-bgsmtr
| |
| Version : 0.7
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.6.1
| Date : 2024-09-10 14:56:26
|
| Group : Development/Libraries/Other
| Source RPM : R-bgsmtr-0.7-lp156.6.1.src.rpm
|
| Size : 3.93 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Group Sparse Multi-Task Regression
|
Description :
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)< doi:10.1093/bioinformatics/btx215> 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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
