Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings R package BayesSUR version 2.3-3 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>. Software Depends: R (>= 3.5.0) Imports: Rcpp, igraph, Matrix, tikzDevice, stats, utils, grDevices, graphics LinkingTo: Rcpp, RcppArmadillo Suggests: R.rsp, knitr, rmarkdown, BDgraph, data.table, plyr, scrime Zhi Zhao <zhi.zhao@medisin.uio.no> Comprehensive R Archive Network (CRAN) Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=BayesSUR/LICENSE) 2026-05-27 application/tgz https://CRAN.R-project.org/package=BayesSUR doi:10.32614/CRAN.package.BayesSUR