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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 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 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: BayesSUR_2.2-1.zip, r-release: BayesSUR_2.2-1.zip, r-oldrel: BayesSUR_2.2-1.zip |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.