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spTimer (version 2.0-0)

Spatio-Temporal Bayesian Modelling Using R

Description

The package is able to fit, spatially predict and temporally forecast 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 big-n problem.

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Version

Install

install.packages('spTimer')

Monthly Downloads

318

Version

2.0-0

License

GPL (>= 2)

Maintainer

Shuvo Bakar

Last Published

January 19th, 2015

Functions in spTimer (2.0-0)

spT.check.locations

Distance Monitoring Function
spT.Gibbs

MCMC sampling for the spatio-temporal models.
spT.grid.coords

Grid Coordinates
spT.keep.morethan.dist

Present one coordinate in a defined area for presentation
spT.subset

Select a subset of Spatial data.
spT.validation

Validation Commands
spT.geodist

Geodetic/geodesic Distance
spTimer-package

Spatio-Temporal Bayesian Modelling using R
spT.pCOVER

Nominal Coverage
NYdata

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

Extract model fitted values.
spT.time

Timer series information.
summary.spT

Summary statistics of the parameters.
confint.spT

Credible intervals for model parameters.
predict.spT

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

Choice for sampling spatial decay parameter $\phi$.
plot.spT

Plots for spTimer output.
spT.initials

Initial values for the spatio-temporal models.
spT.segment.plot

Utility plot for prediction/forecast
spTimer-internal

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

Priors for the spatio-temporal models.