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 |
DOI: |
10.32614/CRAN.package.bayeslm |
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 |