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SSNbayes: Bayesian Spatio-Temporal Analysis in Stream Networks

Fits Bayesian spatio-temporal models and makes predictions on stream networks using the approach by Santos-Fernandez, Edgar, et al. (2022)."Bayesian spatio-temporal models for stream networks". <doi:10.48550/arXiv.2103.03538>. In these models, spatial dependence is captured using stream distance and flow connectivity, while temporal autocorrelation is modelled using vector autoregression methods.

Version:0.0.3
Depends:R (≥ 4.0.0)
Imports:plyr,dplyr,rstan,sf, methods,SSN2
Suggests:rmarkdown,knitr,testthat (≥ 3.0.0)
Published:2023-12-03
DOI:10.32614/CRAN.package.SSNbayes
Author:Edgar Santos-Fernandez [aut, cre, cph]
Maintainer:Edgar Santos-Fernandez <santosfe at qut.edu.au>
BugReports:https://github.com/EdgarSantos-Fernandez/SSNbayes/issues
License:GPL-2
URL:https://github.com/EdgarSantos-Fernandez/SSNbayes
NeedsCompilation:no
Citation:SSNbayes citation info
Materials:README,NEWS
CRAN checks:SSNbayes results

Documentation:

Reference manual:SSNbayes.html ,SSNbayes.pdf
Vignettes:SSNbayes (source,R code)

Downloads:

Package source: SSNbayes_0.0.3.tar.gz
Windows binaries: r-devel:SSNbayes_0.0.3.zip, r-release:SSNbayes_0.0.3.zip, r-oldrel:SSNbayes_0.0.3.zip
macOS binaries: r-release (arm64):SSNbayes_0.0.3.tgz, r-oldrel (arm64):SSNbayes_0.0.3.tgz, r-release (x86_64):SSNbayes_0.0.3.tgz, r-oldrel (x86_64):SSNbayes_0.0.3.tgz
Old sources: SSNbayes archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=SSNbayesto link to this page.


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