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spTimer (version 0.03)

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.

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Version

Install

install.packages('spTimer')

Monthly Downloads

318

Version

0.03

License

GPL (>= 2)

Maintainer

Khandoker Shuvo Bakar

Last Published

December 12th, 2012

Functions in spTimer (0.03)

DataValPred

Ozone concentration data used in Model validations for spatial interpolation.
DataValFore

Ozone concentration data used in Model validations for temporal forecast in the unovserved spatial locations.
spT.grid.coords

Grid Coordinates
spT.prediction

Predictions for the spatio-temporal models.
spT.Summary.Stat

Summary Statistics
spT.data.selection

Selection of Spatial data from a big dataset.
spT.forecast

Forecast for the spatio-temporal models.
spT.priors

Priors for the spatio-temporal models.
spT.segment.plot

Utility plot for prediction/forecast
spT.time

Timer series information.
spT.decay

Choice for sampling spatial decay parameter $\phi$.
DataFit

Ozone concentration data used for Model fitting.
spT.MCMC.stat

MCMC summary for the posterior samples
spT.initials

Initial values for the spatio-temporal models.
spTimer-internal

Service functions and some undocumented functions for the spTimer library
spT.MCMC.plot

MCMC plots for the posterior samples
spT.validation

Validation Commands
DataFitFore

Ozone concentration data used in Model validations for temporal forecast in the ovserved spatial locations.
spT.check.locations

Distance Monitoring Function
summary.spT

Summary statistics of the parameters.
spT.pCOVER

Nominal Coverage
spT.geodist

Geodetic/geodesic Distance
spT.Gibbs

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

Spatio-Temporal Bayesian Modelling using R
plot.spT

Plots for spTimer output.
NYdata

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

Spatial and temporal predictions for the spatio-temporal models.