Package index
-
Laplace_sampling_MCMC() - Laplace Sampling Markov Chain Monte Carlo (MCMC) for Generalized Linear Gaussian Process Models
-
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
-
get_epsg_utm() - Get EPSG code for appropriate UTM zone
-
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
-
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_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