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SSNbayes
View on CRAN: Click
here
Download and install SSNbayes package within the R console
Install from CRAN:
install.packages("SSNbayes")
Install from Github:
library("remotes")
install_github("cran/SSNbayes")
Install by package version:
library("remotes")
install_version("SSNbayes", "0.0.3")
Attach the package and use:
library("SSNbayes")
Maintained by
Edgar Santos-Fernandez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SSNbayes . https://github.com/EdgarSantos-Fernandez/SSNbayes/issues . https://github.com/EdgarSantos-Fernandez/SSNbayes . SSNbayes citation info . SSNbayes results . SSNbayes.pdf . SSNbayes . SSNbayes_0.0.3.tar.gz . SSNbayes_0.0.3.zip . SSNbayes_0.0.3.zip . SSNbayes_0.0.3.zip . SSNbayes_0.0.3.tgz . SSNbayes_0.0.3.tgz . SSNbayes_0.0.3.tgz . SSNbayes_0.0.3.tgz . SSNbayes_0.0.3.tgz . SSNbayes_0.0.3.tgz . SSNbayes archive . https://CRAN.R-project.org/package=SSNbayes .
First Published: 2021-10-22
Latest Update: 2022-12-13
Description:
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.
How to cite:
Edgar Santos-Fernandez (2021). SSNbayes: Bayesian Spatio-Temporal Analysis in Stream Networks. R package version 0.0.3, https://cran.r-project.org/web/packages/SSNbayes. Accessed 29 Mar. 2025.
Other packages that cited SSNbayes R package
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Other R packages that SSNbayes depends,
imports, suggests or enhances
Complete documentation for SSNbayes
Functions, R codes and Examples using
the SSNbayes R package
Some associated functions: collapse . dist_weight_mat . dist_weight_mat_preds . krig . mylm . pred_ssnbayes . predict.ssnbayes . ssnbayes .
Some associated R codes: all_func.R . Full SSNbayes package functions and examples
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