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spTimer (version 3.0-0)

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. Version 3.0-0 provides truncated models for [1] and [3].

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Version

Install

install.packages('spTimer')

Monthly Downloads

544

Version

3.0-0

License

GPL (>= 2)

Maintainer

Shuvo Bakar

Last Published

October 15th, 2017

Functions in spTimer (3.0-0)

NYdata

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

Credible intervals for model parameters.
spT.pCOVER

Nominal Coverage
spT.priors

Priors for the spatio-temporal models.
spT.check.locations

Distance Monitoring Function
spT.decay

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

Utility plot for prediction/forecast
spT.subset

Select a subset of Spatial data.
spT.geodist

Geodetic/geodesic Distance
spT.grid.coords

Grid Coordinates
spT.time

Timer series information.
spT.validation

Validation Commands
summary.spT

Summary statistics of the parameters.
fitted.spT

Extract model fitted values.
plot.spT

Plots for spTimer output.
spTimer-internal

Service functions and some undocumented functions for the spTimer library
spTimer-package

Spatio-Temporal Bayesian Modelling using R
predict.spT

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

MCMC sampling for the spatio-temporal models.
spT.initials

Initial values for the spatio-temporal models.
spT.keep.morethan.dist

Present one coordinate in a defined area for presentation