Package index • RiskMap

All functions

Laplace_sampling_MCMC(): Laplace Sampling Markov Chain Monte Carlo (MCMC) for Generalized Linear Gaussian Process Models

anopheles: Anopheles mosquitoes in Southern Cameroon

assess_pp(): Compute scoring rules using 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

italy_sim: Simulated data-set on the Italian peninsula

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 AnPIT Results from Model Validation

plot_mda(): Plot the estimated MDA impact function

plot_s_variogram(): Plotting the empirical variogram

plot_score(): Plot Spatial Scores for a Specific Model and Metric

plot_sim_surf(): Plot simulated surface data for a given simulation

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 Target over a Shapefile

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

s_variogram(): Empirical variogram

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

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