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CoxAalenCR  

Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model for Competing Risks
View on CRAN: Click here


Download and install CoxAalenCR package within the R console
Install from CRAN:
install.packages("CoxAalenCR")

Install from Github:
library("remotes")
install_github("cran/CoxAalenCR")

Install by package version:
library("remotes")
install_version("CoxAalenCR", "0.1.0")



Attach the package and use:
library("CoxAalenCR")
Maintained by
Shikhar Tyagi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-21
Latest Update: 2026-08-21
Description:
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.
How to cite:
Shikhar Tyagi (2026). CoxAalenCR: Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model for Competing Risks. R package version 0.1.0, https://cran.r-project.org/web/packages/CoxAalenCR. Accessed 24 Oct. 2026.
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