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LongDecompHE (version 0.1.0)

Longitudinal Decomposition of Health Expectancy by Age and Cause

Description

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) .

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Version

Install

install.packages('LongDecompHE')

Monthly Downloads

148

Version

0.1.0

License

GPL (>= 3)

Maintainer

Huiping Zheng

Last Published

July 3rd, 2025

Functions in LongDecompHE (0.1.0)

Attribution_sullivan

Longitudinal Attribution of Disability and Death Based on Sullivan Method
Decomp_sullivan

Two-dimensional decomposition of the difference between the two cohort HE by age and cause
simulated_dataA

Simulated Bivariate Semi-competing Risks Data (Set A)
copula_additive

Copula regression models with semiparametric additive hazards margins for bivariate interval censoring and semi-competing risks.
Plot.sullivan

Plot Attribution or Decomposition Results Using Sullivan Method
print.LongDecompHE

Printing outputs of a LongDecompHE object
summary.LongDecompHE

Summarizing outputs of a LongDecompHE object
decom_results

Decomposition Results Comparing Two Populations
attributionA

Attribution Results for Population A
simulated_dataB

Simulated Bivariate Semi-competing Risks Data (Set B)
attributionB

Attribution Results for Population B