Bayesian Spatio-Temporal Analysis in Stream Networks.
SSNbayes
SSNbayes fits spatio-temporal stream network data using Bayesian inference in Stan.
Installation
You can install the released version of SSNbayes from CRAN with:
install.packages("SSNbayes")
And the development version from GitHub with:
devtools::install_github("EdgarSantos-Fernandez/SSNbayes")
See more details in the articles Santos-Fernandez, Hoef, et al. (2022) and Santos-Fernandez, Ver Hoef, et al. (2022)
Reproducible examples
These examples show the package in action:
kaggle.com/edsans/ssnbayes
kaggle.com/edsans/ssnbayes-simulated
Example of one of the outputs produced
Evolution of the Boise River exceedance probability:
References
Santos-Fernandez, Edgar, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie Mengersen, and Erin E. Peterson. 2022. “SSNbayes: An r Package for Bayesian Spatio-Temporal Modelling on Stream Networks.” arXiv. https://doi.org/10.48550/ARXIV.2202.07166.
Santos-Fernandez, Edgar, Jay M. Ver Hoef, Erin E. Peterson, James McGree, Daniel J. Isaak, and Kerrie Mengersen. 2022. “Bayesian Spatio-Temporal Models for Stream Networks.” Computational Statistics & Data Analysis 170: 107446. https://doi.org/https://doi.org/10.1016/j.csda.2022.107446.