.First.lib

.onLoad

.onAttach

stat.sum

Formula.matrix

Formula.coords

Gamm

Norm

Unif

PMCC

fnc.time

initials.checking.ar

initials.checking.gp

initials.checking.gpp

print.spT

print.spTpred

print.spTprd

print.spTfore

priors.checking.ar

priors.checking.gp

priors.checking.gpp

spAR.Gibbs

spAR.MCMC.Pred

spAR.forecast

spAR.prediction

spGP.Gibbs

spGP.MCMC.Pred

spGP.forecast

spGP.prediction

spGPP.Gibbs

spGPP.MCMC.Pred

spGPP.forecast

spGPP.prediction

spT.fit.pred

spT.hit.false

spT.forecast

spT.prediction

spT.Summary.Stat

spT.MCMC.plot

spT.MCMC.stat

as.mcmc.spT

MCMC.plot.obj

coef.spT

model.frame.spT

residuals.spT

formula.spT

terms.spT

model.matrix.spT

sp.dimname.fnc

tp.dimname.fnc

spT.ObsGridLoc

spT.ObsGridData

spT.gridTodata

internal

spTimer-internal

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.

spTimer-internal: Service functions and some undocumented functions for the spTimer library

Description

Arguments