Executes the optimized bootstrapping loop for smoking transition probabilities. This function pre-calculates mortality risks once to save memory, then iterates through `B` bootstrap samples, saving intermediate results to a temporary directory before combining them into final output tables.
Usage
run_bootstrap_pipeline(
config,
survey_data,
pops,
tob_mort_data,
tob_mort_data_cause,
B = 100
)Arguments
- config
A list containing model configuration parameters (e.g., country, years, ages).
- survey_data
A data.table or data.frame containing the base survey data.
- pops
A data.table containing population denominators.
- tob_mort_data
A data.table containing general tobacco mortality data.
- tob_mort_data_cause
A data.table containing cause-specific tobacco mortality data.
- B
Integer. The number of bootstrap iterations to run. Defaults to 100.