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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 |
| 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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