Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach

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Documentation for package ‘spate’ version 1.7.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

spate-package	Spatio-temporal modeling of large data with the spectral SPDE approach
cols	Function that returns the color scale for 'image()'.
ffbs	Forward Filtering Backward Sampling algorithm.
ffbs.spectral	Forward Filtering Backward Sampling algorithm in the spectral space of the SPDE.
get.propagator	Propagator matrix G.
get.propagator.vec	Propagator matrix G in vector form.
get.real.dft.mat	Matrix applying the two-dimensional real Fourier transform.
index.complex.to.real.dft	Auxilary function for the real Fourier transform.
innov.spec	Spectrum of the innovation term epsilon.
lin.pred	Linear predictor.
loglike	Log-likelihood of the hyperparameters.
map.obs.to.grid	Maps non-gridded data to a grid.
matern.spec	Spectrum of the Matern covariance function.
mcmc.summary	Summary function for MCMC output.
Palpha	Prior for direction of anisotropy in diffusion parameter alpha.
Pgamma	Prior for amount of anisotropy in diffusion parameter gamma.
Plambda	Prior for transformation parameter of the Tobit model.
plot.spateMCMC	Plot fitted spateMCMC objects.
plot.spateSim	Plotting function for 'spateSim' objects.
Pmux	Prior for y-component of drift.
Pmuy	Prior for y-component of drift.
post.dist.hist	Histogram of posterior distributions.
Prho0	Prior for range parameter rho0 of innovation epsilon.
Prho1	Prior for range parameter rho1 of diffusion.
print.spateMCMC	Print function for spateMCMC objects.
print.spateSim	Print function for 'spateSim' objects.
propagate.spectral	Function that propagates a state (spectral coefficients).
Psigma2	Prior for for variance parameter sigma2 of innovation epsilon. hyperparameter.
Ptau2	Prior for nugget effect parameter tau2.
Pzeta	Prior for damping parameter zeta.
real.fft	Fast calculation of the two-dimensional real Fourier transform.
real.fft.TS	Fast calculation of the two-dimensional real Fourier transform of a space-time field. For each time point, the spatial field is transformed.
sample.four.coef	Sample from the full conditional of the Fourier coefficients.
spate	Spatio-temporal modeling of large data with the spectral SPDE approach
spate.init	Constructor for 'spateFT' object which are used for the two-dimensional Fourier transform.
spate.mcmc	MCMC algorithm for fitting the model.
spate.plot	Plot a spatio-temporal field.
spate.predict	Obtain samples from predictive distribution in space and time.
spate.sim	Simulate from the SPDE.
spateMCMC	'spateMCMC' object output obtained from 'spate.mcmc'.
spateMLE	Maximum likelihood estimate for SPDE model with Gaussian observations.
summary.spateSim	Summary function for 'spateSim' objects.
tobit.lambda.log.full.cond	Full conditional for transformation parameter lambda.
trace.plot	Trace plots for MCMC output analysis.
TSmat.to.vect	Converts a matrix stacked vector.
vect.to.TSmat	Converts a stacked vector into matrix.
vnorm	Eucledian norm of a vector
wave.numbers	Wave numbers.