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.
Version: | 2.0-1 |
Depends: | R (≥ 2.15.0) |
Imports: | coda, sp, grDevices, graphics, stats, utils |
Published: | 2015-08-18 |
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 |
Citation: | spTimer citation info |
Materials: | ChangeLog |
In views: | Bayesian, Spatial, SpatioTemporal, TimeSeries |
CRAN checks: | spTimer results |
Reference manual: | spTimer.pdf |
Package source: | spTimer_2.0-1.tar.gz |
Windows binaries: | r-devel: spTimer_2.0-1.zip, r-release: spTimer_2.0-1.zip, r-oldrel: spTimer_2.0-1.zip |
OS X Mavericks binaries: | r-release: spTimer_2.0-1.tgz, r-oldrel: spTimer_2.0-1.tgz |
Old sources: | spTimer archive |
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