| spTDyn-package {spTDyn} | R Documentation |
Spatially varying and spatio-temporal dynamic linear models
Description
This package uses different hierarchical Bayesian spatio-temporal modelling strategies, namely:
(1) Spatially varying coefficient process models,
(2) Temporally varying coefficient process models, also known as the spatio-temporal dynamic linear models.
Details
| Package: | spTDyn |
| Type: | Package |
The back-end code of this package is built under c language.
Main functions used:
> GibbsDyn
> predict.spT
Author(s)
K.S. Bakar
Maintainer: K.S. Bakar <shuvo.bakar@gmail.com>
References
Bakar, K. S., Kokic, P. and Jin, H. (2015). A spatio-dynamic model for assessing frost risk in south-eastern Australia. Journal of the Royal Statistical Society, Series C. DOI: 10.1111/rssc.12103
Bakar, K. S., Kokic, P. and Jin, H. (2015). Hierarchical spatially varying coefficient and temporal dynamic process models using spTDyn. Journal of Statistical Computation and Simulation. DOI:10.1080/00949655.2015.1038267
See Also
Packages 'spTimer'; 'forecast'; 'spBayes'; 'maps'; 'MBA'; 'coda'; website: http://www.r-project.org/.