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Fits, spatially predicts and temporally forecasts 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 spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.
Version: | 3.3.2 |
Depends: | R (≥ 3.4.0) |
Imports: | coda, sp, spacetime, extraDistr, grDevices, graphics, stats, utils |
Published: | 2022-10-26 |
DOI: | 10.32614/CRAN.package.spTimer |
Author: | K. Shuvo Bakar & Sujit K. Sahu |
Maintainer: | K. Shuvo Bakar <shuvo.bakar at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | spTimer citation info |
Materials: | ChangeLog |
In views: | Bayesian, Spatial, SpatioTemporal, TimeSeries |
CRAN checks: | spTimer results [issues need fixing before 2024-09-23] |
Reference manual: | spTimer.pdf |
Package source: | spTimer_3.3.2.tar.gz |
Windows binaries: | r-devel: spTimer_3.3.2.zip, r-release: spTimer_3.3.2.zip, r-oldrel: spTimer_3.3.2.zip |
macOS binaries: | r-release (arm64): spTimer_3.3.2.tgz, r-oldrel (arm64): spTimer_3.3.2.tgz, r-release (x86_64): spTimer_3.3.2.tgz, r-oldrel (x86_64): spTimer_3.3.2.tgz |
Old sources: | spTimer archive |
Reverse depends: | spTDyn |
Reverse imports: | bmstdr |
Reverse suggests: | SpatMCA |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.