BayesSUR: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.

Version: 2.2-1
Depends: R (≥ 3.5.0)
Imports: Rcpp, xml2, igraph, Matrix, tikzDevice, stats, utils, grDevices, graphics
LinkingTo: Rcpp, RcppArmadillo
Suggests: R.rsp, knitr, rmarkdown, BDgraph, data.table, plyr, scrime
Published: 2024-06-30
DOI: 10.32614/CRAN.package.BayesSUR
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]
Maintainer: Zhi Zhao <zhi.zhao at>
License: MIT + file LICENSE
Copyright: The C++ files pugixml.cpp, pugixml.hpp and pugiconfig.hpp are used with Copyright (C) 2006-2018 from Arseny Kapoulkine and Copyright (C) 2003 from Kristen Wegner. The R function vertical.image.legend() is used with Copyright (C) 2013 from Jenise Swall.
NeedsCompilation: yes
SystemRequirements: C++17
Citation: BayesSUR citation info
Materials: README NEWS
CRAN checks: BayesSUR results


Reference manual: BayesSUR.pdf
Vignettes: BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression
BayesSUR with random effects


Package source: BayesSUR_2.2-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesSUR_2.2-1.tgz, r-oldrel (arm64): BayesSUR_2.2-1.tgz, r-release (x86_64): BayesSUR_2.2-1.tgz, r-oldrel (x86_64): BayesSUR_2.2-1.tgz
Old sources: BayesSUR archive


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