WAreg: While-Alive Regression for Composite Endpoints with Cluster-Robust Inference

Provides estimation and inference for while-alive regression models targeting the while-alive loss rate for composite endpoints that include recurrent events and a terminal event. The implementation supports flexible time-varying covariate effects through user-selected time bases, including B-splines, natural splines, M-splines, step functions, truncated linear bases, interval-local bases, and piecewise polynomials. Inference can be performed using cluster-robust variance estimators for cluster-randomized trials, with subject-level (IID) variance as a special case. The package includes prediction and plotting utilities and K-fold cross-validation for selecting basis and tuning parameters. Methodology is based on Fang et al. (2025) <doi:10.1093/biostatistics/kxaf047>.

Version:	0.1.0
Depends:	R (≥ 4.1)
Imports:	dplyr, tidyr, tibble, ggplot2, survival, nleqslv, splines, MASS, magrittr, rlang
Suggests:	splines2, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-03-06
DOI:	10.32614/CRAN.package.WAreg
Author:	Xi Fang [aut, cre], Hajime Uno [aut], Fan Li [aut]
Maintainer:	Xi Fang <x.fang at yale.edu>
BugReports:	https://github.com/fancy575/WAreg/issues
License:	GPL-3
URL:	https://github.com/fancy575/WAreg
NeedsCompilation:	no
CRAN checks:	WAreg results

Documentation:

Reference manual:

WAreg.html , WAreg.pdf

Downloads:

Package source:	WAreg_0.1.0.tar.gz
Windows binaries:	r-devel: WAreg_0.1.0.zip, r-release: not available, r-oldrel: WAreg_0.1.0.zip
macOS binaries:	r-release (arm64): WAreg_0.1.0.tgz, r-oldrel (arm64): WAreg_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

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