bayeslm: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

Efficient sampling for Gaussian linear regression with arbitrary priors.

Version: 0.6.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.12.7), stats, graphics, grDevices, coda, RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Published: 2017-12-17
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

Downloads:

Reference manual: bayeslm.pdf
Package source: bayeslm_0.6.0.tar.gz
Windows binaries: r-devel: bayeslm_0.5.0.zip, r-release: bayeslm_0.5.0.zip, r-oldrel: bayeslm_0.5.0.zip
OS X El Capitan binaries: r-release: bayeslm_0.5.0.tgz
OS X Mavericks binaries: r-oldrel: bayeslm_0.5.0.tgz
Old sources: bayeslm archive

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