Function reference
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Laplace_sampling_MCMC() - Laplace Sampling Markov Chain Monte Carlo (MCMC) for Generalized Linear Gaussian Process Models
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anopheles - Anopheles mosquitoes in Southern Cameroon
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coef(<RiskMap>) - Extract Parameter Estimates from a "RiskMap" Model Fit
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create_grid() - Create Grid of Points Within Shapefile
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dist_summaries() - Summaries of the distances
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galicia - Heavy metal biomonitoring in Galicia
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glgpm() - Estimation of Generalized Linear Gaussian Process Models
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glgpm_sim() - Simulation from Generalized Linear Gaussian Process Models
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gp() - Gaussian Process Model Specification
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italy_sim - Simulated data-set on the Italian peninsula
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liberia - River-blindness in Liberia
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loaloa - Loa loa prevalence data from 197 village surveys
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malkenya - Malaria Transmission in the Western Kenyan Highlands
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malnutrition - Malnutrition in Ghana
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matern.grad.phi() - First Derivative with Respect to \(\phi\)
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matern.hessian.phi() - Second Derivative with Respect to \(\phi\)
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matern_cor() - Matern Correlation Function
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maxim.integrand() - Maximization of the Integrand for Generalized Linear Gaussian Process Models
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plot(<RiskMap_pred_target_grid>) - Plot Method for RiskMap_pred_target_grid Objects
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plot(<RiskMap_pred_target_shp>) - Plot Method for RiskMap_pred_target_shp Objects
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plot_s_variogram() - Plotting the empirical variogram
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pred_over_grid() - Prediction of the random effects components and covariates effects over a spatial grid using a fitted generalized linear Gaussian process model
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pred_target_grid() - Predictive Target Over a Regular Spatial Grid
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pred_target_shp() - Predictive Target over a Shapefile
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print(<summary.RiskMap>) - Print Summary of RiskMap Model
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propose_utm() - EPSG of the UTM Zone
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re() - Random Effect Model Specification
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s_variogram() - Empirical variogram
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set_control_sim() - Set Control Parameters for Simulation
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summary(<RiskMap>) - Summarize Model Fits
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to_table() - Create LaTeX Table from Model Fit