The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | LongDecompHE.pdf |
| Package source: | LongDecompHE_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=LongDecompHE to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.