Model Fine-Scale Age-Structured Population Data using Open-Source Data


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Documentation for package ‘AgePopDenom’ version 1.2.2

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aggregate_and_extract_gamma Aggregate Individual Survey Data and Extract Gamma Parameters by Location
autofitVariogram Automatically Fit a Variogram Model
compute_cov Compute Covariance Matrix for Spatial Model
create_prediction_data Generate or Load Cached Predictors Data
create_project_structure Create a Standardized Project Folder Structure
download_dhs_datasets Download WHO ADM2 Boundaries with Partial Updateads the latest PR (household) and GE (geographic) DHS datasets for specified countries.
download_pop_rasters Download population rasters for given country codes.
download_shapefile Download WHO ADM2 Boundaries with Partial Update
extract_afurextent Extract Urban/Rural Extent Raster
extract_age_param Extract Parameters and Optimization Details with Log-Likelihood
extract_betas Extract Beta Parameters from Model Output
fit_spatial_model Fit a Spatial Model for Age Parameters using TMB
generate_age_pop_raster Generate Age Population Raster
generate_age_pop_table Generate Age Population Tables
generate_age_pyramid_plot Generate and Save Age Pyramid Plot
generate_gamma_predictions Predict Gamma Distribution Parameters for Spatial Grid
generate_gamma_raster_plot Generate and Save Raster Plot for Gamma Predictions
generate_variogram_plot Generate Variogram Plot
get_current_script_path Get the path to the currently running script
init Initialize Full Pipeline Script and Model Script
log_lik Log-Likelihood Function for Spatial Model
process_dhs_data Process DHS Data: Merge RDS Files with Shapefiles and Extract Gamma Parameters
process_final_population_data Process Final Population Data
process_gamma_predictions Process Gamma Prediction Results
rasterize_data Rasterize Spatial Data
run_full_workflow Run Country-Specific Spatial Modeling Workflow with Logging
simulate_dummy_dhs_pr Simulate Processed DHS Survey Personal Records Data