spBayes: Univariate and Multivariate Spatial-Temporal Modeling

Fits univariate and multivariate spatio-temporal random effects models for point-referenced data using Markov chain Monte Carlo (MCMC). Details are given in Finley, Banerjee, and Gelfand (2015) <doi:10.18637/jss.v063.i13> and Finley and Banerjee <doi:10.1016/j.envsoft.2019.104608>.

Version: 0.4-6
Depends: R (≥ 1.8.0)
Imports: coda, sp, magic, Formula, Matrix
Suggests: MBA
Published: 2022-05-17
Author: Andrew Finley [aut, cre], Sudipto Banerjee [aut]
Maintainer: Andrew Finley <finleya at msu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.finley-lab.com
NeedsCompilation: yes
Citation: spBayes citation info
Materials: ChangeLog
In views: Bayesian, Spatial, SpatioTemporal
CRAN checks: spBayes results

Documentation:

Reference manual: spBayes.pdf

Downloads:

Package source: spBayes_0.4-6.tar.gz
Windows binaries: r-devel: spBayes_0.4-6.zip, r-release: spBayes_0.4-6.zip, r-oldrel: spBayes_0.4-6.zip
macOS binaries: r-release (arm64): spBayes_0.4-6.tgz, r-oldrel (arm64): spBayes_0.4-6.tgz, r-release (x86_64): spBayes_0.4-6.tgz, r-oldrel (x86_64): spBayes_0.4-6.tgz
Old sources: spBayes archive

Reverse dependencies:

Reverse depends: LinkedGASP
Reverse imports: bmstdr, SpatialTools
Reverse suggests: ExceedanceTools

Linking:

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