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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 |
Reference manual: | SSNbayes.pdf |
Vignettes: |
SSNbayes |
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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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.