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spTimer (version 0.01)

Spatio-Temporal Bayesian Modelling Using R

Description

1. Bayesian Gaussian Process (GP) Models. 2. Bayesian Auto-Regressive (AR) Models. 3. Bayesian Gaussian Predictive Processes (GPP) based AR Models.

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Version

Install

install.packages('spTimer')

Monthly Downloads

318

Version

0.01

License

GPL (>= 2)

Maintainer

Khandoker Shuvo Bakar

Last Published

June 15th, 2012

Functions in spTimer (0.01)

spT.MCMC.stat

MCMC summary for the posterior samples

spT.data.selection

Selection of Spatial data from a big dataset.

spT.validation

Validation Commands

spT.priors

Priors for the spatio-temporal models.

spTimer-package

Spatio-Temporal Bayesian Modelling using R

spT.pCOVER

Nominal Coverage

spT.prediction

Predictions for the spatio-temporal models.

spT.MCMC.plot

MCMC plots for the posterior samples

spT.time

Timer series information.

spT.Summary.Stat

Summary Statistics

spT.segment.plot

Utility plot for prediction/forecast

spT.geodist

Geodetic/geodesic Distance

NYdata

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

spT.grid.coords

Grid Coordinates

spTimer-internal

Service functions and some undocumented functions for the spTimer library

spT.decay

Choice for sampling spatial decay parameter $\phi$.

spT.initials

Initial values for the spatio-temporal models.

spT.forecast

Forecast for the spatio-temporal models.

NYsite

Position of ozone monitoring sites in New York

spT.check.locations

Distance Monitoring Function

spT.Gibbs

MCMC sampling for the spatio-temporal models.