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>.
| Version: | 3.3.3 |
| Depends: | R (≥ 4.4.0) |
| Imports: | coda,sp,spacetime,extraDistr, grDevices, graphics, stats, utils |
| Published: | 2024-09-08 |
| DOI: | 10.32614/CRAN.package.spTimer |
| Author: | K. Shuvo Bakar [aut, cre], Sujit K. Sahu [ctb] |
| Maintainer: | K. Shuvo Bakar <shuvo.bakar at gmail.com> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | spTimer citation info |
| Materials: | ChangeLog |
| In views: | Bayesian,Spatial,SpatioTemporal,TimeSeries |
| CRAN checks: | spTimer results |
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