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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: 0.4-7
Depends: R (≥ 1.8.0)
Imports: coda, sp, magic, Formula, Matrix
Suggests: MBA
Published: 2023-12-11
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_0.4-7.tar.gz
Windows binaries: r-devel: spBayes_0.4-7.zip, r-release: spBayes_0.4-7.zip, r-oldrel: spBayes_0.4-7.zip
macOS binaries: r-release (arm64): spBayes_0.4-7.tgz, r-oldrel (arm64): spBayes_0.4-7.tgz, r-release (x86_64): spBayes_0.4-7.tgz, r-oldrel (x86_64): spBayes_0.4-7.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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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