generate_gamma_predictions: Predict Gamma Distribution Parameters for Spatial Grid

In AgePopDenom: Model Fine-Scale Age-Structured Population Data using Open-Source Data

Predict Gamma Distribution Parameters for Spatial Grid

Description

This function predicts the scale and shape parameters of a Gamma distribution across a spatial grid using a bivariate spatial model. It can either generate new predictions or load cached results if available.

Usage

generate_gamma_predictions(
  country_code,
  age_param_data,
  model_params,
  predictor_data,
  shapefile,
  cell_size = 5000,
  n_sim = 5000,
  ignore_cache = FALSE,
  save_file = FALSE,
  output_dir = here::here("03_outputs", "3a_model_outputs")
)

Arguments

country_code	A string representing the country code (e.g., "KEN").
age_param_data	A data frame containing: web_x, web_y: Spatial coordinates urban: Urban/rural indicator log_scale: Log of scale parameter at observed locations log_shape: Log of shape parameter at observed locations
model_params	A list containing model parameters: par: Named vector with gamma, log_sigma2, log_phi, log_tau1 Additional parameters for extracting beta coefficients
predictor_data	A data object containing the predictors data.
shapefile	An sf object defining the boundary for predictions
cell_size	Numeric. Grid cell size in meters (default: 5000)
n_sim	Integer. Number of simulations for prediction (default: 5000)
ignore_cache	A boolean input which is set to determine whether to ignore the existing cache and write over it. Default is set to FALSE.
save_file	A boolean to determine whether to save prediction or not. Default is FALSE as this will require lots of space.
output_dir	A string specifying the directory where the predictions file should be saved (default is "03_outputs/3a_model_outputs").

Value

A list containing:

• scale_pred: Matrix of simulated scale parameters

• shape_pred: Matrix of simulated shape parameters

AgePopDenom documentation built on April 12, 2025, 1:41 a.m.