CRAN/E | BayesSUR

BayesSUR

Bayesian Seemingly Unrelated Regression

Installation

About

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) doi:10.1111/rssc.12490, the software paper is in Zhao et al. (2021) doi:10.18637/jss.v100.i11, and the model with random effects is described in Zhao et al. (2024) doi:10.1093/jrsssc/qlad102.

Citation BayesSUR citation info
github.com/mbant/BayesSUR
Copyright The C++ files pugixml.cpp, pugixml.hpp and pugiconfig.hpp are used with Copyright (C) 2006-2018 from Arseny Kapoulkine and Copyright (C) 2003 from Kristen Wegner. The R function vertical.image.legend() is used with Copyright (C) 2013 from Jenise Swall.
System requirements C++17
Bug report File report

Key Metrics

Version 2.1-7
R ≥ 3.5.0
Published 2024-04-18 6 days ago
Needs compilation? yes
License MIT
License File
CRAN checks BayesSUR results

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Maintainer

Maintainer

Zhi Zhao

zhi.zhao@medisin.uio.no

Authors

Marco Banterle

aut

Zhi Zhao

aut / cre

Leonardo Bottolo

ctb

Sylvia Richardson

ctb

Waldir Leoncio

ctb

Alex Lewin

aut

Manuela Zucknick

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression
BayesSUR with random effects

macOS

r-prerel

arm64

r-release

arm64

r-oldrel

arm64

r-prerel

x86_64

r-release

x86_64

Windows

r-prerel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesSUR archive

Depends

R ≥ 3.5.0

Imports

Rcpp
xml2
igraph
Matrix
tikzDevice
stats
utils
grDevices
graphics

Suggests

R.rsp
knitr
BDgraph
data.table
plyr
scrime

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.000