CRAN/E | bayeslm

bayeslm

Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors

Installation

About

Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) .

github.com/JingyuHe/bayeslm
System requirements GNU make

Key Metrics

Version 1.0.1
R ≥ 2.10
Published 2022-06-27 669 days ago
Needs compilation? yes
License LGPL-2
License LGPL-2.1
License LGPL-3
CRAN checks bayeslm results

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Maintainer

Maintainer

Jingyu He

jingyuhe@cityu.edu.hk

Authors

Jingyu He

aut / cre

P. Richard Hahn

aut

Hedibert Lopes

aut

Andrew Herren

ctb

Material

README
Reference manual
Package source

Vignettes

Demo of the bayeslm package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bayeslm archive

Depends

R ≥ 2.10

Imports

Rcpp ≥ 0.12.7
stats
graphics
grDevices
coda
methods
RcppParallel

Suggests

rmarkdown
knitr

LinkingTo

Rcpp
RcppArmadillo
RcppParallel