Calibrates retrospective recall data against observed period trends using the Holford (2014) method. This ensures that cohort histories sum up to match the "truth" seen in cross-sectional surveys at specific ages.
Usage
init_adj(
init_data,
ever_smoke_data,
ref_age = 30,
fix_ref_age = FALSE,
min_ref = 25,
cohorts = 1973:2020,
period_start = 2003,
period_end = 2018
)Arguments
- init_data
Data table - raw estimates from init_est().
- ever_smoke_data
Data table - trend targets from ever_smoke().
- ref_age
Integer - the index age for calibration (default 30).
- fix_ref_age
Logical. If TRUE, forces ref_age even if data is sparse.
- min_ref
Integer - minimum age to allow for reference.
- cohorts
Integer vector - cohorts to adjust.
- period_start
Integer - first year of data.
- period_end
Integer - last year of data.