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 |
| Reference manual: | spTDyn.pdf |
| 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: spTDyn_2.0.1.tgz, r-oldrel: spTDyn_2.0.1.tgz |
| Old sources: | spTDyn archive |
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