SSNbayes
Bayesian Spatio-Temporal Analysis in Stream Networks
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". <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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.3 |
rolling linux/jammy R-4.5 | SSNbayes_0.0.3.tar.gz |
879.0 KiB |
0.0.3 |
rolling linux/noble R-4.5 | SSNbayes_0.0.3.tar.gz |
879.0 KiB |
0.0.3 |
rolling source/ R- | SSNbayes_0.0.3.tar.gz |
1.3 MiB |
0.0.3 |
latest linux/jammy R-4.5 | SSNbayes_0.0.3.tar.gz |
879.0 KiB |
0.0.3 |
latest linux/noble R-4.5 | SSNbayes_0.0.3.tar.gz |
879.0 KiB |
0.0.3 |
latest source/ R- | SSNbayes_0.0.3.tar.gz |
1.3 MiB |
0.0.3 |
2026-04-26 source/ R- | SSNbayes_0.0.3.tar.gz |
1.3 MiB |
0.0.3 |
2026-04-23 source/ R- | SSNbayes_0.0.3.tar.gz |
1.3 MiB |
0.0.3 |
2026-04-09 windows/windows R-4.5 | SSNbayes_0.0.3.zip |
876.7 KiB |
0.0.3 |
2025-04-20 source/ R- | SSNbayes_0.0.3.tar.gz |
1.3 MiB |