Package: WAreg
Type: Package
Title: While-Alive Regression for Composite Endpoints with
        Cluster-Robust Inference
Version: 0.1.0
Authors@R: 
    c(
      person("Xi", "Fang", role = c("aut", "cre"), email = "x.fang@yale.edu"),
      person("Hajime", "Uno", role = "aut"),
      person("Fan", "Li", role = "aut")
    )
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>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: dplyr, tidyr, tibble, ggplot2, survival, nleqslv, splines,
        MASS, magrittr, rlang
Suggests: splines2, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
URL: https://github.com/fancy575/WAreg
BugReports: https://github.com/fancy575/WAreg/issues
RoxygenNote: 7.3.3
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-02 21:19:15 UTC; xf97
Author: Xi Fang [aut, cre],
  Hajime Uno [aut],
  Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2026-03-06 13:50:07 UTC
Built: R 4.6.0; ; 2026-04-30 05:58:27 UTC; unix
