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spTimer (version 3.3.2)

Spatio-Temporal Bayesian Modelling

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) .

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Version

Install

install.packages('spTimer')

Monthly Downloads

481

Version

3.3.2

License

GPL (>= 2)

Maintainer

Shuvo Bakar

Last Published

October 26th, 2022

Functions in spTimer (3.3.2)

NYdata

Observations of ozone concentration levels, maximum temperature and wind speed.
spT.decay

Choice for sampling spatial decay parameter \(\phi\).
fitted.spT

Extract model fitted values.
spT.initials

Initial values for the spatio-temporal models.
spT.geodist

Geodetic/geodesic Distance
spT.grid.coords

Grid Coordinates
spT.Gibbs

MCMC sampling for the spatio-temporal models.
spTimer-package

Spatio-Temporal Bayesian Modelling using R
plot.spT

Plots for spTimer output.
predict.spT

Spatial and temporal predictions for the spatio-temporal models.
summary.spT

Summary statistics of the parameters.
spT.priors

Priors for the spatio-temporal models.
spT.validation2

Validation Commands
spT.pCOVER

Nominal Coverage
spT.time

Timer series information.
spT.validation

Validation Commands
confint.spT

Credible intervals for model parameters.
spT.segment.plot

Utility plot for prediction/forecast
spTimer-internal

Service functions and some undocumented functions for the spTimer library
spT.subset

Select a subset of Spatial data.