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.
Pmux                    Prior for y-component of drift.
Pmuy                    Prior for y-component of drift.
Prho0                   Prior for range parameter rho0 of innovation
                        epsilon.
Prho1                   Prior for range parameter rho1 of diffusion.
Psigma2                 Prior for for variance parameter sigma2 of
                        innovation epsilon. hyperparameter.
Ptau2                   Prior for nugget effect parameter tau2.
Pzeta                   Prior for damping parameter zeta.
TSmat.to.vect           Converts a matrix stacked vector.
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.
plot.spateMCMC          Plot fitted spateMCMC objects.
plot.spateSim           Plotting function for 'spateSim' objects.
post.dist.hist          Histogram of posterior distributions.
print.spateMCMC         Print function for spateMCMC objects.
print.spateSim          Print function for 'spateSim' objects.
propagate.spectral      Function that propagates a state (spectral
                        coefficients).
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-package           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.
vect.to.TSmat           Converts a stacked vector into matrix.
vnorm                   Eucledian norm of a vector
wave.numbers            Wave numbers.
