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.">

SSNbayes: Bayesian Spatio-Temporal Analysis in Stream Networks (original) (raw)

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
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:

Downloads:

Linking:

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