Laplace.sampling        Langevin-Hastings MCMC for conditional
                        simulation
Laplace.sampling.SPDE   Independence sampler for conditional simulation
                        of a Gaussian process using SPDE
Laplace.sampling.lr     Langevin-Hastings MCMC for conditional
                        simulation (low-rank approximation)
adjust.sigma2           Adjustment factor for the variance of the
                        convolution of Gaussian noise
autocor.plot            Plot of the autocorrelgram for posterior
                        samples
binary.probit.Bayes     Bayesian estimation for the two-levels binary
                        probit model
binomial.logistic.Bayes
                        Bayesian estimation for the binomial logistic
                        model
binomial.logistic.MCML
                        Monte Carlo Maximum Likelihood estimation for
                        the binomial logistic model
coef.PrevMap            Extract model coefficients
coef.PrevMap.ps         Extract model coefficients from geostatistical
                        linear model with preferentially sampled
                        locations
continuous.sample       Spatially continuous sampling
contour.pred.PrevMap    Contour plot of a predicted surface
control.mcmc.Bayes      Control settings for the MCMC algorithm used
                        for Bayesian inference
control.mcmc.Bayes.SPDE
                        Control settings for the MCMC algorithm used
                        for Bayesian inference using SPDE
control.mcmc.MCML       Control settings for the MCMC algorithm used
                        for classical inference on a binomial logistic
                        model
control.prior           Priors specification
control.profile         Auxliary function for controlling profile
                        log-likelihood in the linear Gaussian model
create.ID.coords        ID spatial coordinates
data_sim                Simulated binomial data-set over the unit
                        square
dens.plot               Density plot for posterior samples
discrete.sample         Spatially discrete sampling
galicia                 Heavy metal biomonitoring in Galicia
galicia.boundary        Boundary of Galicia
linear.model.Bayes      Bayesian estimation for the geostatistical
                        linear Gaussian model
linear.model.MLE        Maximum Likelihood estimation for the
                        geostatistical linear Gaussian model
lm.ps.MCML              Monte Carlo Maximum Likelihood estimation of
                        the geostatistical linear model with
                        preferentially sampled locations
loaloa                  Loa loa prevalence data from 197 village
                        surveys
loglik.ci               Profile likelihood confidence intervals
loglik.linear.model     Profile log-likelihood or fixed parameters
                        likelihood evaluation for the covariance
                        parameters in the geostatistical linear model
matern.kernel           Matern kernel
plot.pred.PrevMap       Plot of a predicted surface
plot.pred.PrevMap.ps    Plot of a predicted surface of geostatistical
                        linear fits with preferentially sampled
                        locations
plot.profile.PrevMap    Plot of the profile log-likelihood for the
                        covariance parameters of the Matern function
plot.shape.matern       Plot of the profile likelihood for the shape
                        parameter of the Matern covariance function
poisson.log.MCML        Monte Carlo Maximum Likelihood estimation for
                        the Poisson model
set.par.ps              Define the model coefficients of a
                        geostatistical linear model with preferentially
                        sampled locations
shape.matern            Profile likelihood for the shape parameter of
                        the Matern covariance function
spatial.pred.binomial.Bayes
                        Bayesian spatial prediction for the binomial
                        logistic and binary probit models
spatial.pred.binomial.MCML
                        Spatial predictions for the binomial logistic
                        model using plug-in of MCML estimates
spatial.pred.linear.Bayes
                        Bayesian spatial predictions for the
                        geostatistical Linear Gaussian model
spatial.pred.linear.MLE
                        Spatial predictions for the geostatistical
                        Linear Gaussian model using plug-in of ML
                        estimates
spatial.pred.lm.ps      Spatial predictions for the geostatistical
                        Linear Gaussian model using plug-in of ML
                        estimates
spatial.pred.poisson.MCML
                        Spatial predictions for the Poisson model with
                        log link function, using plug-in of MCML
                        estimates
summary.Bayes.PrevMap   Summarizing Bayesian model fits
summary.PrevMap         Summarizing likelihood-based model fits
summary.PrevMap.ps      Summarizing fits of geostatistical linear
                        models with preferentially sampled locations
trace.plot              Trace-plots for posterior samples
trace.plot.MCML         Trace-plots of the importance sampling
                        distribution samples from the MCML method
