adjust.sigma2 | Adjustment factor for the variance of the convolution of... |
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... |
coef.PrevMap | Extract model coefficients |
coef.PrevMap.ps | Extract model coefficients from geostatistical linear model... |
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... |
control.mcmc.Bayes.SPDE | Control settings for the MCMC algorithm used for Bayesian... |
control.mcmc.MCML | Control settings for the MCMC algorithm used for classical... |
control.prior | Priors specification |
control.profile | Auxliary function for controlling profile log-likelihood in... |
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 |
glgm.LA | Maximum Likelihood estimation for generalised linear... |
Laplace.sampling | Langevin-Hastings MCMC for conditional simulation |
Laplace.sampling.lr | Langevin-Hastings MCMC for conditional simulation (low-rank... |
Laplace.sampling.SPDE | Independence sampler for conditional simulation of a Gaussian... |
linear.model.Bayes | Bayesian estimation for the geostatistical linear Gaussian... |
linear.model.MLE | Maximum Likelihood estimation for the geostatistical linear... |
lm.ps.MCML | Monte Carlo Maximum Likelihood estimation of the... |
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... |
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... |
plot.PrevMap.diagnostic | Plot of the variogram-based diagnostics |
plot.profile.PrevMap | Plot of the profile log-likelihood for the covariance... |
plot.shape.matern | Plot of the profile likelihood for the shape parameter of the... |
point.map | Point map |
poisson.log.MCML | Monte Carlo Maximum Likelihood estimation for the Poisson... |
set.par.ps | Define the model coefficients of a geostatistical linear... |
shape.matern | Profile likelihood for the shape parameter of the Matern... |
spat.corr.diagnostic | Diagnostics for residual spatial correlation |
spatial.pred.binomial.Bayes | Bayesian spatial prediction for the binomial logistic and... |
spatial.pred.binomial.MCML | Spatial predictions for the binomial logistic model using... |
spatial.pred.linear.Bayes | Bayesian spatial predictions for the geostatistical Linear... |
spatial.pred.linear.MLE | Spatial predictions for the geostatistical Linear Gaussian... |
spatial.pred.lm.ps | Spatial predictions for the geostatistical Linear Gaussian... |
spatial.pred.poisson.MCML | Spatial predictions for the Poisson model with log link... |
summary.Bayes.PrevMap | Summarizing Bayesian model fits |
summary.PrevMap | Summarizing likelihood-based model fits |
summary.PrevMap.ps | Summarizing fits of geostatistical linear models with... |
trace.plot | Trace-plots for posterior samples |
trace.plot.MCML | Trace-plots of the importance sampling distribution samples... |
trend.plot | Plot of trends |
variog.diagnostic.glgm | Variogram-based validation for generalized linear... |
variog.diagnostic.lm | Variogram-based validation for linear geostatistical model... |
variogram | The empirical variogram |
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