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bgsmtr  

Bayesian Group Sparse Multi-Task Regression
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]
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 02 Apr. 2025.
Previous versions and publish date:
0.1 (2016-10-04 17:49), 0.2 (2018-08-26 18:24), 0.3 (2018-12-19 13:50), 0.4 (2019-01-03 06:50), 0.5 (2019-01-07 01:00), 0.6 (2019-12-02 10:00)
Other packages that cited bgsmtr R package
View bgsmtr citation profile
Other R packages that bgsmtr depends, imports, suggests or enhances
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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Maintainer: Zhe Su (view profile)

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