spTimer: Spatio-Temporal Bayesian Modelling Using R

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: 1.0-1
Depends: R (≥ 2.14.0), coda, forecast (≥ 3.0.2), spacetime
Published: 2014-03-03
Author: K. Shuvo Bakar & Sujit K. Sahu
Maintainer: Shuvo Bakar <Shuvo.Bakar at csiro.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
In views: Bayesian, Spatial, SpatioTemporal, TimeSeries
CRAN checks: spTimer results

Downloads:

Reference manual: spTimer.pdf
Package source: spTimer_1.0-1.tar.gz
MacOS X binary: spTimer_1.0-1.tgz
Windows binary: spTimer_1.0-1.zip
Old sources: spTimer archive