The package is able to fit, spatially predict and temporally forecast 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 big-n problem.
| Version: | 1.0-3 |
| Depends: | R (≥ 2.15.0), coda, sp |
| Published: | 2014-10-02 |
| Author: | K. Shuvo Bakar & Sujit K. Sahu |
| Maintainer: | Shuvo Bakar <shuvo.bakar at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | Bayesian, Spatial, SpatioTemporal, TimeSeries |
| CRAN checks: | spTimer results |
| Reference manual: | spTimer.pdf |
| Package source: | spTimer_1.0-3.tar.gz |
| Windows binaries: | r-devel: spTimer_1.0-3.zip, r-release: spTimer_1.0-3.zip, r-oldrel: spTimer_1.0-3.zip |
| OS X Snow Leopard binaries: | r-release: spTimer_1.0-3.tgz, r-oldrel: spTimer_1.0-3.tgz |
| OS X Mavericks binaries: | r-release: spTimer_1.0-3.tgz |
| Old sources: | spTimer archive |