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.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

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