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.
- Version0.7.9
- R version≥ 3.4.0
- LicenseGPL-2
- Needs compilation?Yes
- Last release12/18/2023
Documentation
Team
Sujit K. Sahu
K. Shuvo Bakar
Show author detailsRolesAuthorDuncan P. Lee
Show author detailsRolesAuthor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports13 packages
- Suggests18 packages
- Linking To6 packages