CoxAalenCR: Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model
for Competing Risks
Implements the flexible additive-multiplicative Cox-Aalen
subdistribution hazard regression model for competing risks data as
proposed by Li and Long (2019) <doi:10.1007/s11424-019-7281-6>. The
framework accommodates both time-varying non-parametric additive covariate
effects through an Aalen (1980) additive model and constant multiplicative
effects via a Cox proportional hazards structure, generalizing Scheike and
Zhang (2002) <doi:10.1111/1467-9469.00065> and Martinussen and Scheike
(2002) <doi:10.1093/biomet/89.2.283>. Includes inverse probability of
censoring weighting (IPCW) with both Kaplan-Meier weights (Fine and Gray,
1999 <doi:10.1080/01621459.1999.10474144>) and covariate-dependent Cox
censoring weights (He et al., 2016 <doi:10.1111/sjos.12172>; Li and Long,
2019 <doi:10.1007/s11424-019-7281-6>). Provides simultaneous estimating
equations based on Huffer and McKeague (1991)
<doi:10.1080/01621459.1991.10475010>, asymptotic sandwich variance
estimation with censoring-weight martingale corrections, cumulative
incidence function (CIF) prediction with pointwise confidence intervals,
supremum-type goodness-of-fit tests for time-varying covariate effects, and
Monte Carlo competing risks data simulation.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
stats, graphics, grDevices, utils, survival |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-08-21 |
| DOI: |
10.32614/CRAN.package.CoxAalenCR |
| Author: |
Shikhar Tyagi 
[aut, cre],
Arvind Pandey [aut],
Bhupendra Singh [aut],
Vrijesh Tripathi [aut] |
| Maintainer: |
Shikhar Tyagi <shikhar1093tyagi at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
CoxAalenCR results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=CoxAalenCR
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.