Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Hedibert (2018) <arXiv:1806.05738>.
Version: | 0.8.0 |
Depends: | R (≥ 2.10) |
Imports: | Rcpp (≥ 0.12.7), stats, graphics, grDevices, coda, RcppParallel |
LinkingTo: | Rcpp, RcppArmadillo, RcppParallel |
Published: | 2018-06-18 |
Author: | P. Richard Hahn, Jingyu He, Hedibert Lopes |
Maintainer: | Jingyu He <jingyu.he at chicagobooth.edu> |
License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
URL: | http://jingyuhe.com/software.html |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Materials: | README |
CRAN checks: | bayeslm results |
Reference manual: | bayeslm.pdf |
Package source: | bayeslm_0.8.0.tar.gz |
Windows binaries: | r-devel: bayeslm_0.8.0.zip, r-release: bayeslm_0.8.0.zip, r-oldrel: bayeslm_0.8.0.zip |
macOS binaries: | r-release: bayeslm_0.8.0.tgz, r-oldrel: bayeslm_0.8.0.tgz |
Old sources: | bayeslm archive |
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