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spTimer: Spatio-Temporal Bayesian Modelling
Fits, spatially predicts and temporally forecasts large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.
Getting started
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Package details |
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| Author | K. Shuvo Bakar [aut, cre] (<https://orcid.org/0000-0003-3215-4496>), Sujit K. Sahu [ctb] (<https://orcid.org/0000-0003-2315-3598>) |
| Maintainer | K. Shuvo Bakar <shuvo.bakar@gmail.com> |
| License | GPL (>= 2) |
| Version | 3.3.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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