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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bayeslm to link to this page.
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