Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) <doi:10.48550/arXiv.1806.05738>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
Rcpp (≥ 0.12.7), stats, graphics, grDevices, coda, methods, RcppParallel |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppParallel |
| Suggests: |
rmarkdown, knitr |
| Published: |
2022-06-27 |
| Author: |
Jingyu He [aut, cre],
P. Richard Hahn [aut],
Hedibert Lopes [aut],
Andrew Herren [ctb] |
| Maintainer: |
Jingyu He <jingyuhe at cityu.edu.hk> |
| License: |
LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
| URL: |
https://github.com/JingyuHe/bayeslm |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Materials: |
README |
| CRAN checks: |
bayeslm results |