.First.lib

.onLoad

.onAttach

Formula.matrix

PMCC

fnc.time

initials.checking.ar

initials.checking.gp

initials.checking.gpp

print.spT

print.spTpred

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.keep.morethan.dist

as.mcmc.spT

MCMC.plot.obj

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.

Khandoker Shuvo Bakar

spTimer

Spatio-Temporal Bayesian Modelling Using R

spTimer-internal function

Service functions and some undocumented functions for the spTimer library

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

Description

Arguments