spTDyn: Spatially Varying and Spatio-Temporal Dynamic Linear Models

Fits, spatially predicts, and temporally forecasts space-time data using Gaussian Process (GP): (1) spatially varying coefficient process models and (2) spatio-temporal dynamic linear models. Bakar et al., (2016) <doi:10.1080/00949655.2015.1038267>. Bakar et al., (2015) <doi:10.1111/rssc.12103>.

Version: 2.0
Depends: R (≥ 3.4.1), spTimer
Imports: coda, sp, spacetime, grDevices, graphics, stats, utils
Published: 2017-10-24
Author: K. Shuvo Bakar, Philip Kokic, Huidong Jin
Maintainer: Shuvo Bakar <shuvo.bakar at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: spTDyn citation info
Materials: ChangeLog
CRAN checks: spTDyn results

Downloads:

Reference manual: spTDyn.pdf
Package source: spTDyn_2.0.tar.gz
Windows binaries: r-devel: spTDyn_2.0.zip, r-release: spTDyn_2.0.zip, r-oldrel: spTDyn_1.0.zip
OS X El Capitan binaries: r-release: spTDyn_2.0.tgz
OS X Mavericks binaries: r-oldrel: spTDyn_1.0.tgz
Old sources: spTDyn archive

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