bmstdr
Bayesian Modeling of Spatio-Temporal Data with R
Fits, validates and compares a number of Bayesian models for spatial and space time point referenced and areal unit data. Model fitting is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer', 'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using the DIC and WAIC, and K-fold cross-validation where the user is free to select their own subset of data rows for validation. Sahu (2022) <doi:10.1201/9780429318443> describes the methods in detail.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.8.2 |
2026-04-09 windows/windows R-4.5 | bmstdr_0.8.2.zip |
4.0 MiB |
Dependencies (latest)
Depends
- Rcpp (>= 0.12.0)
Imports
LinkingTo
- BH (>= 1.66.0)
- Rcpp (>= 0.12.0)
- RcppEigen (>= 0.3.3.3.0)
- rstan (>= 2.18.1)
- StanHeaders (>= 2.18.0)
- RcppParallel