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cff-version: 1.2.0
message: 'To cite package "wnpmle" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'wnpmle: Weighted NPMLE for Recurrent Events with a Competing Terminal Event'
version: 0.1.1
doi: 10.32614/CRAN.package.wnpmle
abstract: 'Provides regression modeling and prediction for the marginal mean of recurrent
  events in the presence of a competing terminal event based on the weighted nonparametric
  maximum likelihood estimator (wNPMLE) of Bellach and Kosorok (2026) <https://arxiv.org/abs/2605.25934>.
  Two large classes of transformation models are included: the Box-Cox transformation
  models and the logarithmic transformation models, extending the proportional means
  model of Ghosh and Lin (2002) <https://doi.org/10.17615/pt0g-y207> and the model
  of Zeng and Lin (2006) <https://doi.org/10.1093/biomet/93.3.627>. Parameter estimates
  are derived via automatic differentiation using the Template Model Builder (TMB)
  framework. Standard errors are computed via a sandwich variance estimator with correction
  for the estimated weights, following Bellach, Kosorok, Ruschendorf and Fine (2019)
  <https://doi.org/10.1080/01621459.2017.1401540>.'
authors:
- family-names: Bellach
  given-names: Anna
  email: abellach.biostat@gmail.com
repository: https://abellach.r-universe.dev
repository-code: https://github.com/abellach/wnpmle
commit: 53411d2ab3647c0f6e243e318fcea15a4e5debf6
url: https://github.com/abellach/wnpmle
date-released: '2026-06-09'
contact:
- family-names: Bellach
  given-names: Anna
  email: abellach.biostat@gmail.com