Provides tools to decompose differences in cohort health expectancy (HE)
by age and cause using longitudinal data. The package implements a novel
longitudinal attribution method based on a semiparametric additive hazards
model with time-dependent covariates, specifically designed to address interval
censoring and semi-competing risks via a copula framework. The resulting
age-cause-specific contributions to disability prevalence and death probability
can be used to quantify and decompose differences in cohort HE between groups.
The package supports stepwise replacement decomposition algorithms and is
applicable to cohort-based health disparity research across diverse populations.
Related methods include
Sun et al. (2023)