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SSNbayes fits spatio-temporal stream network data using Bayesian inference in Stan.
You can install the released version of SSNbayes from CRAN with:
And the development version from GitHub with:
See more details in the articles Santos-Fernandez, Hoef, et al. (2022) and Santos-Fernandez, Ver Hoef, et al. (2022)
These examples show the package in action:
kaggle.com/edsans/ssnbayes
kaggle.com/edsans/ssnbayes-simulated
Evolution of the Boise River exceedance probability:
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.