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. (2021) <arXiv:2101.05899>.
| Version: |
2.1-2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp, xml2, igraph, Matrix, tikzDevice, stats, utils, grDevices, graphics |
| LinkingTo: |
Rcpp, RcppArmadillo (≥ 0.9.000) |
| Suggests: |
R.rsp, BDgraph, data.table, plyr, scrime |
| Published: |
2022-08-08 |
| 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> |
| 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. |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11 |
| Citation: |
BayesSUR citation info |
| Materials: |
NEWS |
| CRAN checks: |
BayesSUR results |