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SSNbayes  

Bayesian Spatio-Temporal Analysis in Stream Networks
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]
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 20 Apr. 2025.
Previous versions and publish date:
0.0.1 (2021-10-22 09:50), 0.0.2 (2022-12-13 01:30)
Other packages that cited SSNbayes R package
View SSNbayes citation profile
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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