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bgsmtr
View on CRAN: Click
here
Download and install bgsmtr package within the R console
Install from CRAN:
install.packages("bgsmtr")
Install from Github:
library("remotes")
install_github("cran/bgsmtr") Install by package version:
library("remotes")
install_version("bgsmtr", "0.7") Attach the package and use:
library("bgsmtr")
Maintained by
Yin Song
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-04
Latest Update: 2019-12-13
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) 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.
How to cite:
Yin Song (2016). bgsmtr: Bayesian Group Sparse Multi-Task Regression. R package version 0.7, https://cran.r-project.org/web/packages/bgsmtr. Accessed 27 Aug. 2026.
Previous versions and publish date:
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Complete documentation for bgsmtr
Functions, R codes and Examples using
the bgsmtr R package
Some associated functions: bgsmtr . bgsmtr_example_data . sp_bgsmtr . sp_bgsmtr_example_data . sp_bgsmtr_path .
Some associated R codes: all_functions.R . example-data.R . sp_example-data.R . Full bgsmtr package functions and examples
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