marcox: Marginal Hazard Ratio Estimation in Clustered Failure Time Data

Estimation of marginal hazard ratios in clustered failure time data. It implements the weighted generalized estimating equation approach based on a semiparametric marginal proportional hazards model (See Niu, Y. Peng, Y.(2015). "A new estimating equation approach for marginal hazard ratio estimation"), accounting for within-cluster correlations. 5 different correlation structures are supported. The package is designed for researchers in biostatistics and epidemiology who require accurate and efficient estimation methods for survival analysis in clustered data settings.

Version:	1.0.0
Depends:	R (≥ 4.4.0), Matrix
Imports:	Rcpp, RcppEigen, survival, ggplot2, stats
LinkingTo:	Rcpp, RcppEigen
Published:	2025-04-10
DOI:	10.32614/CRAN.package.marcox
Author:	Junyi Chen [aut, cre], Siqi Zhou [ctb], Shida Li [ctb], Yi Niu [aut]
Maintainer:	Junyi Chen <2655088079 at qq.com>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	marcox results

Documentation:

Reference manual:

marcox.pdf

Downloads:

Package source:	marcox_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: marcox_1.0.0.zip, r-oldrel: not available
macOS binaries:	r-devel (arm64): marcox_1.0.0.tgz, r-release (arm64): marcox_1.0.0.tgz, r-oldrel (arm64): not available, r-devel (x86_64): marcox_1.0.0.tgz, r-release (x86_64): marcox_1.0.0.tgz, r-oldrel (x86_64): not available

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