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: 3.3.3 Depends: R (≥ 4.4.0) Imports: coda, sp, spacetime, extraDistr, grDevices, graphics, stats, utils Published: 2024-09-08 DOI: 10.32614/CRAN.package.spTimer Author: K. Shuvo Bakar [aut, cre], Sujit K. Sahu [ctb] 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=spTimer to link to this page.
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