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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.
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Package details |
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| Author | Sujit K. Sahu [aut, cre] (<https://orcid.org/0000-0003-2315-3598>), Duncan P. Lee [aut], K. Shuvo Bakar [aut] |
| Maintainer | Sujit K. Sahu <S.K.Sahu@soton.ac.uk> |
| License | GPL-2 |
| Version | 0.8.2 |
| URL | https://www.sujitsahu.com |
| Package repository | View on CRAN |
| Installation |
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