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: 2.3-0 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: 2025-03-27 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 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. URL: https://github.com/mbant/BayesSUR NeedsCompilation: yes SystemRequirements: C++17 Citation: BayesSUR citation info Materials: README NEWS CRAN checks: BayesSUR resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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