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: 1.0-2
Depends: R (≥ 2.14.0), coda, forecast (≥ 3.0.2), spacetime
Published: 2014-06-24
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_1.0-2.tar.gz
Windows binaries: r-devel: spTimer_1.0-2.zip, r-release: spTimer_1.0-2.zip, r-oldrel: spTimer_1.0-2.zip
OS X Snow Leopard binaries: r-release: spTimer_1.0-2.tgz, r-oldrel: spTimer_1.0-2.tgz
OS X Mavericks binaries: r-release: not available
Old sources: spTimer archive