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spTimer (version 2.0-1)

Spatio-Temporal Bayesian Modelling Using R

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.

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Version

Install

install.packages('spTimer')

Monthly Downloads

318

Version

2.0-1

License

GPL (>= 2)

Maintainer

Shuvo Bakar

Last Published

August 18th, 2015

Functions in spTimer (2.0-1)

spT.check.locations

Distance Monitoring Function
plot.spT

Plots for spTimer output.
confint.spT

Credible intervals for model parameters.
spT.priors

Priors for the spatio-temporal models.
spT.decay

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

Summary statistics of the parameters.
spT.validation

Validation Commands
spTimer-internal

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

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

Select a subset of Spatial data.
spT.time

Timer series information.
NYdata

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

Extract model fitted values.
spT.grid.coords

Grid Coordinates
spT.initials

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

Nominal Coverage
spT.geodist

Geodetic/geodesic Distance
spT.segment.plot

Utility plot for prediction/forecast
spT.keep.morethan.dist

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

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

Spatio-Temporal Bayesian Modelling using R