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WAreg
View on CRAN: Click
here
Download and install WAreg package within the R console
Install from CRAN:
install.packages("WAreg")
Install from Github:
library("remotes")
install_github("cran/WAreg") Install by package version:
library("remotes")
install_version("WAreg", "0.1.0") Attach the package and use:
library("WAreg")
Maintained by
Xi Fang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-06
Latest Update: 2026-03-06
Description:
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>.
How to cite:
Xi Fang (2026). WAreg: While-Alive Regression for Composite Endpoints with Cluster-Robust Inference. R package version 0.1.0, https://cran.r-project.org/web/packages/WAreg. Accessed 24 Oct. 2026.
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