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:	2.0.1
Depends:	R (≥ 3.4.1), spTimer
Imports:	coda, sp, spacetime, grDevices, graphics, stats, utils
Published:	2020-06-02
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

Documentation:

Reference manual:

spTDyn.pdf

Downloads:

Package source:	spTDyn_2.0.1.tar.gz
Windows binaries:	r-devel: spTDyn_2.0.1.zip, r-release: spTDyn_2.0.1.zip, r-oldrel: spTDyn_2.0.1.zip
macOS binaries:	r-release (arm64): spTDyn_2.0.1.tgz, r-oldrel (arm64): spTDyn_2.0.1.tgz, r-release (x86_64): spTDyn_2.0.1.tgz, r-oldrel (x86_64): spTDyn_2.0.1.tgz
Old sources:	spTDyn archive

Reverse dependencies:

Reverse imports:

bmstdr

Linking:

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