| abund_sma | Female Culex pipiens abundance (collections) in the Sacramento Metropolitan Area |
| anopheles | Anopheles mosquitoes in Southern Cameroon |
| assess_pp | Assess Predictive Performance via Spatial Cross-Validation |
| assess_sim | Assess Simulations |
| check_mcmc | Check MCMC Convergence for Spatial Random Effects |
| coef.RiskMap | Extract Parameter Estimates from a "RiskMap" Model Fit |
| compute_ID_coords | Compute Unique Coordinate Identifiers |
| convex_hull_sf | Convex Hull of an sf Object |
| create_grid | Create Grid of Points Within Shapefile |
| dast | Fitting of decay-adjusted spatio-temporal (DAST) model |
| dist_summaries | Summaries of the distances |
| galicia | Heavy metal biomonitoring in Galicia |
| glgpm | Estimation of Generalized Linear Gaussian Process Models |
| glgpm_sim | Simulation from Generalized Linear Gaussian Process Models |
| gp | Gaussian Process Model Specification |
| infect_sma | West Nile virus pool tests for female *Culex pipiens* in the Sacramento Metropolitan Area |
| italy_sim | Simulated data-set on the Italian peninsula |
| Laplace_sampling_MCMC | Laplace-sampling MCMC for Generalized Linear Gaussian Process Models |
| liberia | River-blindness in Liberia |
| loaloa | Loa loa prevalence data from 197 village surveys |
| malkenya | Malaria Transmission in the Western Kenyan Highlands |
| malnutrition | Malnutrition in Ghana |
| matern.grad.phi | First Derivative with Respect to phi |
| matern.hessian.phi | Second Derivative with Respect to phi |
| matern_cor | Matern Correlation Function |
| maxim.integrand | Maximization of the Integrand for Generalized Linear Gaussian Process Models |
| plot.RiskMap_pred_target_grid | Plot Method for RiskMap_pred_target_grid Objects |
| plot.RiskMap_pred_target_shp | Plot Method for RiskMap_pred_target_shp Objects |
| plot_AnPIT | Plot Calibration Curves (AnPIT / PIT) from Spatial Cross-Validation |
| plot_mda | Plot the estimated MDA impact function |
| plot_score | Plot Spatial Scores for a Specific Model and Metric |
| plot_sim_surf | Plot simulated surface data for a given simulation |
| plot_s_variogram | Plotting the empirical variogram |
| pred_over_grid | Prediction of the random effects components and covariates effects over a spatial grid using a fitted generalized linear Gaussian process model |
| pred_target_grid | Predictive Target Over a Regular Spatial Grid |
| pred_target_shp | Predictive Targets over a Shapefile (grid-aggregated) |
| print.summary.RiskMap | Print Summary of RiskMap Model |
| print.summary.RiskMap.sim.res | Print Simulation Results |
| print.summary.RiskMap.spatial.cv | Print Summary of RiskMap Spatial Cross-Validation Scores |
| propose_utm | EPSG of the UTM Zone |
| re | Random Effect Model Specification |
| set_control_sim | Set Control Parameters for Simulation |
| summary.RiskMap | Summarize Model Fits |
| summary.RiskMap.sim.res | Summarize Simulation Results |
| summary.RiskMap.spatial.cv | Summarize Cross-Validation Scores for Spatial RiskMap Models |
| surf_sim | Simulate surface data based on a spatial model |
| s_variogram | Empirical variogram |
| to_table | Generate LaTeX Tables from RiskMap Model Fits and Validation |
| tz_covariates | Covariates Dataset for Malaria Prediction in Tanzania |
| tz_malaria | Malaria Dataset from Tanzania Demographic Health Surveys 2015 |
| update_predictors | Update Predictors for a RiskMap Prediction Object |