Implements a sparse Bayesian multivariate linear regression model using shrinkage priors from the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <arXiv:1711.07635>.
| Version: | 1.0 |
| Depends: | R (≥ 3.1.0), Matrix, MASS, GIGrvg, coda, MCMCpack |
| Published: | 2018-04-09 |
| Author: | Ray Bai, Malay Ghosh |
| Maintainer: | Ray Bai <raybai07 at ufl.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| In views: | Distributions |
| CRAN checks: | MBSP results |
| Reference manual: | MBSP.pdf |
| Package source: | MBSP_1.0.tar.gz |
| Windows binaries: | r-devel: MBSP_1.0.zip, r-release: MBSP_1.0.zip, r-oldrel: MBSP_1.0.zip |
| macOS binaries: | r-release: MBSP_1.0.tgz, r-oldrel: MBSP_1.0.tgz |
| Reverse suggests: | matrixNormal |
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