Monte Carlo Maximum Likelihood estimation for the binomial logistic model
Independence sampler for conditional simulation of a Gaussian process using SPDE
Extract model coefficients
Extract model coefficients from geostatistical linear model with preferentially sampled locations
Bayesian estimation for the binomial logistic model
Langevin-Hastings MCMC for conditional simulation
Plot of the autocorrelgram for posterior samples
Adjustment factor for the variance of the convolution of Gaussian noise
Langevin-Hastings MCMC for conditional simulation (low-rank approximation)
Bayesian estimation for the two-levels binary probit model
Control settings for the MCMC algorithm used for Bayesian inference
Priors specification
Control settings for the MCMC algorithm used for classical inference on a binomial logistic model
Control settings for the MCMC algorithm used for Bayesian inference using SPDE
Maximum Likelihood estimation for the geostatistical linear Gaussian model
Bayesian estimation for the geostatistical linear Gaussian model
Monte Carlo Maximum Likelihood estimation of the geostatistical linear model with preferentially sampled locations
Loa loa prevalence data from 197 village surveys
Maximum Likelihood estimation for generalised linear geostatistical models via the Laplace approximation
Boundary of Galicia
Contour plot of a predicted surface
Spatially continuous sampling
Profile likelihood for the shape parameter of the Matern covariance function
Define the model coefficients of a geostatistical linear model with preferentially sampled locations
ID spatial coordinates
Density plot for posterior samples
Auxliary function for controlling profile log-likelihood in the linear Gaussian model
Simulated binomial data-set over the unit square
Matern kernel
Monte Carlo Maximum Likelihood estimation for the Poisson model
Point map
Diagnostics for residual spatial correlation
Spatially discrete sampling
Variogram-based validation for generalized linear geostatistical model fits (Binomial and Poisson)
Plot of trends
spatial.pred.binomial.Bayes
Bayesian spatial prediction for the binomial logistic and binary probit models
The empirical variogram
Variogram-based validation for linear geostatistical model fits
Heavy metal biomonitoring in Galicia
Plot of the profile likelihood for the shape parameter of the Matern covariance function
Spatial predictions for the geostatistical Linear Gaussian model using plug-in of ML estimates
Spatial predictions for the geostatistical Linear Gaussian model using plug-in of ML estimates
Plot of the profile log-likelihood for the covariance parameters of the Matern function
Profile likelihood confidence intervals
Profile log-likelihood or fixed parameters likelihood evaluation for the covariance parameters in the geostatistical linear model
Trace-plots for posterior samples
Trace-plots of the importance sampling distribution samples from the MCML method
Plot of a predicted surface
Summarizing Bayesian model fits
spatial.pred.poisson.MCML
Spatial predictions for the Poisson model with log link function, using plug-in of MCML estimates
Plot of the variogram-based diagnostics
spatial.pred.linear.Bayes
Bayesian spatial predictions for the geostatistical Linear Gaussian model
spatial.pred.binomial.MCML
Spatial predictions for the binomial logistic model using plug-in of MCML estimates
Summarizing likelihood-based model fits
Plot of a predicted surface of geostatistical linear fits with preferentially sampled locations
Summarizing fits of geostatistical linear models with preferentially sampled locations