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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 WAreg_0.1.0.tar.gz 297.1 KiB
0.1.0 rolling linux/noble R-4.5 WAreg_0.1.0.tar.gz 297.1 KiB
0.1.0 rolling source/ R- WAreg_0.1.0.tar.gz 262.4 KiB
0.1.0 latest linux/jammy R-4.5 WAreg_0.1.0.tar.gz 297.1 KiB
0.1.0 latest linux/noble R-4.5 WAreg_0.1.0.tar.gz 297.1 KiB
0.1.0 latest source/ R- WAreg_0.1.0.tar.gz 262.4 KiB
0.1.0 2026-04-26 source/ R- WAreg_0.1.0.tar.gz 262.4 KiB
0.1.0 2026-04-23 source/ R- WAreg_0.1.0.tar.gz 262.4 KiB
0.1.0 2026-04-09 windows/windows R-4.5 WAreg_0.1.0.zip 300.0 KiB

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