Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Banterle et al. (2018) <doi:10.1101/467019>.
Version: | 1.1-1 |
Depends: | R (≥ 3.6.0) |
Imports: | Rcpp, xml2, igraph, Matrix, tikzDevice, stats, utils, grDevices, graphics |
LinkingTo: | Rcpp, RcppArmadillo (≥ 0.9.000) |
Suggests: | R.rsp |
Published: | 2020-04-17 |
Author: | Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Alex Lewin [aut], Manuela Zucknick [ctb] |
Maintainer: | Zhi Zhao <zhi.zhao at medisin.uio.no> |
License: | MIT + file LICENSE |
Copyright: | The C++ files pugixml.cpp, pugixml.hpp and pugiconfig.hpp are Copyright (C) 2006-2018 by Arseny Kapoulkine (arseny.kapoulkine@gmail.com) and Copyright (C) 2003 by Kristen Wegner (kristen@tima.net). The R function vertical.image.legend() has Copyright (C) 2013 by Jenise Swall (jswall@vcu.edu). |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
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 |
Package source: | BayesSUR_1.1-1.tar.gz |
Windows binaries: | r-prerelease: BayesSUR_1.1-1.zip, r-release: BayesSUR_1.1-1.zip, r-oldrel: BayesSUR_1.0-4.zip |
macOS binaries: | r-prerelease: BayesSUR_1.0-4.tgz, r-release: BayesSUR_1.1-1.tgz, r-oldrel: BayesSUR_1.0-4.tgz |
Old sources: | BayesSUR archive |
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