spTimer

Spatio-Temporal Bayesian Modelling

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>.

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Description file content

Package
spTimer
Type
Package
Title
Spatio-Temporal Bayesian Modelling
Version
3.3
Date
2018-11-07
Author
K. Shuvo Bakar & Sujit K. Sahu
Maintainer
Shuvo Bakar
Depends
R (>= 3.4.0)
Description
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) .
License
GPL (>= 2)
Imports
coda, sp, spacetime, extraDistr, grDevices, graphics, stats, utils
LazyData
yes
NeedsCompilation
yes
Packaged
2018-11-06 23:41:50 UTC; bak18b
Repository
CRAN
Date/Publication
2018-11-10 07:40:03 UTC

install.packages('spTimer')

3.3

8 months ago

Shuvo Bakar

GPL (>= 2)

Depends on

R (>= 3.4.0)

Imports

coda, sp, spacetime, extraDistr, grDevices, graphics, stats, utils

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