Package: wnpmle
Title: Weighted NPMLE for Recurrent Events with a Competing Terminal
        Event
Version: 0.1.3
Authors@R: 
    person("Anna", "Bellach",
           email = "abellach.biostat@gmail.com",
           role = c("aut", "cre"))
Description: Provides regression modeling and prediction for the
        marginal mean of recurrent events in the presence of a
        competing terminal event using the weighted nonparametric
        maximum likelihood estimator (wNPMLE) of Bellach and Kosorok
        (2026) <doi:10.48550/arXiv.2605.25934>. Two classes of
        transformation models are implemented: Box-Cox transformation
        models and logarithmic transformation models. These extend the
        proportional means model of Ghosh and Lin (2002)
        <doi:10.17615/pt0g-y207> and the transformation model framework
        of Zeng and Lin (2006) <doi:10.1093/biomet/93.3.627>. Parameter
        estimation is performed using automatic differentiation through
        the Template Model Builder (TMB) framework. Standard errors are
        computed using sandwich variance estimators that account for
        estimation of the inverse-probability censoring weights
        following Bellach, Kosorok, Rüschendorf and Fine (2019)
        <doi:10.1080/01621459.2017.1401540>.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: TMB (>= 1.9.0), survival, methods, MASS, graphics, grDevices,
        tools, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/abellach/wnpmle
BugReports: https://github.com/abellach/wnpmle/issues
Author: Anna Bellach [aut, cre]
Maintainer: Anna Bellach <abellach.biostat@gmail.com>
Repository: https://abellach.r-universe.dev
Date/Publication: 2026-10-18 03:23:32 UTC
RemoteUrl: https://github.com/abellach/wnpmle
RemoteRef: HEAD
RemoteSha: 8aa5a44aefbe9e8272f32f6b24dc14c99676bc30
NeedsCompilation: no
Packaged: 2026-10-18 06:25:18 UTC; root