AgePopDenom (version 1.2.2)

generate_age_pop_table: Generate Age Population Tables

Description

Creates age-stratified population tables from predictor data and gamma distribution parameters. Supports parallel processing and caching of results.

Usage

generate_age_pop_table(
  predictor_data,
  scale_pred,
  shape_pred,
  age_range = c(0, 99),
  age_interval = 1,
  country_code,
  ignore_cache = FALSE,
  output_dir,
  n_cores = parallel::detectCores() - 2
)

Value

List containing two data frames: - prop_df: Age-stratified population proportions with uncertainty intervals - pop_df: Age-stratified population counts with uncertainty intervals

Arguments

predictor_data

Data frame containing population data with columns: country, region, district, pop

scale_pred

Matrix of scale parameters for gamma distribution predictions

shape_pred

Matrix of shape parameters for gamma distribution predictions

age_range

Numeric vector of length 2 specifying min and max ages, default c(0,99)

age_interval

Numeric interval size between age groups in years, default 1

country_code

Character ISO3 country code

ignore_cache

Logical whether to ignore cached results, default FALSE

output_dir

Character path to output directory

n_cores

Integer number of cores for parallel processing, default detectCores()-2

Examples

# \donttest{
predictor_data <- data.frame(
 country = rep("ABC", 1100),
  region = rep("Region1", 1100),
  district = rep("District1", 1100),
  pop = rep(1000, 1100)
)
scale_pred <- matrix(rep(1:10, 1100), nrow = 1100, ncol = 10)
shape_pred <- matrix(rep(1:10, 1100), nrow = 1100, ncol = 10)
output <- generate_age_pop_table(
  predictor_data, scale_pred, shape_pred, age_range = c(0, 99),
  age_interval = 10, country_code = "ABC", ignore_cache = TRUE,
  output_dir = tempdir(), n_cores = 1
)
# }