africa_shp              Africa shapefile data
africa_shps             Africa shapefile data 2
compute_spatial_autocorr
                        Compute Moran's I & LISA, classify clusters
eval_model              Get RMSE/MAE/R² metrics on training data
global_variables_eval   Declare known global variables to suppress R
                        CMD check NOTE Global variables used in
                        evaluation functions
join_data               Join spatial and incidence datasets
load_incidence_data     Load incidence data from Excel
load_shapefile          Load shapefile as sf + optionally convert to sp
model_evaluation_examples
                        Examples for model evaluation functions
panc_incidence          Pancreatic Cancer Incidence Data
panc_prevalence         Pancreatic Cancer Prevalence Data
pancre_mort             Pancreatic Cancer Mortality Data
plot_map_grid           Arrange Multiple tmap Plots in a Grid
plot_obs_vs_pred        Plot observed vs predicted values with
                        correlation
plot_single_map         Build a tmap for a single variable
train_rf                Train Random Forest model
train_svr               Train Support Vector Regression (SVR) model
train_xgb               Train XGBoost model
