doi:10.18637/jss.v063.i15>.">

spTimer: Spatio-Temporal Bayesian Modelling (original) (raw)

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 ORCID iD [aut, cre], Sujit K. Sahu ORCID iD [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:
In views: Bayesian, Spatial, SpatioTemporal, TimeSeries
CRAN checks: spTimer results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=spTimerto link to this page.