LongDecompHE: Longitudinal Decomposition of Health Expectancy by Age and Cause

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) <doi:10.1177/09622802221133552>.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	copula, corpcor, stats, ggplot2, patchwork, grDevices, tidyr
Published:	2025-07-03
DOI:	10.32614/CRAN.package.LongDecompHE
Author:	Huiping Zheng [aut, cre], Tao Sun [aut], Xiaojun Wang [aut]
Maintainer:	Huiping Zheng <zhenghuiping at ruc.edu.cn>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	LongDecompHE results

Documentation:

Reference manual:

LongDecompHE.pdf

Downloads:

Package source:	LongDecompHE_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: LongDecompHE_0.1.0.zip, r-oldrel: LongDecompHE_0.1.0.zip
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): LongDecompHE_0.1.0.tgz, r-oldrel (x86_64): LongDecompHE_0.1.0.tgz

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