BayesSUR: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings (original) (raw)
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:
2.3-1
Depends:
R (≥ 3.5.0)
Imports:
Rcpp, xml2, igraph, Matrix, tikzDevice, stats, utils, grDevices, graphics
LinkingTo:
Suggests:
R.rsp, knitr, rmarkdown, BDgraph, data.table, plyr, scrime
Published:
2025-11-16
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 medisin.uio.no>
BugReports:
https://github.com/mbant/BayesSUR/issues
License:
MIT + file
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.
URL:
https://github.com/mbant/BayesSUR
NeedsCompilation:
yes
SystemRequirements:
C++17
Citation:
Materials:
CRAN checks: