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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "pcdreg" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'pcdreg: Semiparametric Regression for Panel Count Data'
version: 0.1.0
doi: 10.3150/23-BEJ1713
abstract: Fits semiparametric regression models to panel count data, that is, to recurrent
  event processes observed only at intermittent examination times, allowing covariates
  to be time-varying. The proportional rate model is fitted by nonparametric maximum
  likelihood through an expectation-maximization algorithm under a working Poisson
  assumption, while inference does not require that assumption to hold; two computationally
  inexpensive covariance estimators are provided, a robust sandwich estimator that
  remains consistent when the Poisson assumption fails and an efficient information
  estimator that is a fast substitute for profile likelihood when it holds, with the
  profile likelihood estimator available for comparison. The proportional means model
  is fitted by the estimating equation of Hu, Sun and Wei (2003) <https://doi.org/10.1111/1467-9469.00316>.
  Methods for the rate model are described in Sun, Guo, Li, Tu and Sun (2024) <https://doi.org/10.3150/23-BEJ1713>.
authors:
- family-names: Sun
  given-names: Dayu
  email: dayusun@iu.edu
  orcid: https://orcid.org/0000-0002-7149-3303
preferred-citation:
  type: article
  title: A robust approach for regression analysis of panel count data
  authors:
  - family-names: Sun
    given-names: Dayu
    email: dayusun@iu.edu
    orcid: https://orcid.org/0000-0002-7149-3303
  - family-names: Guo
    given-names: Yuanyuan
  - family-names: Li
    given-names: Yang
  - family-names: Tu
    given-names: Wanzhu
  - family-names: Sun
    given-names: Jianguo
  journal: Bernoulli
  year: '2024'
  volume: '30'
  issue: '4'
  doi: 10.3150/23-BEJ1713
  start: '3251'
  end: '3275'
repository: https://cran.r-universe.dev
repository-code: https://github.com/dayusun/pcdreg
commit: ac3c90d9573a08de28b75debf0510a40ddc2e8b0
url: https://www.sundayu.me/pcdreg/
date-released: '2026-11-10'
contact:
- family-names: Sun
  given-names: Dayu
  email: dayusun@iu.edu
  orcid: https://orcid.org/0000-0002-7149-3303
references:
- type: manual
  title: 'pcdreg: Semiparametric Regression for Panel Count Data'
  authors:
  - family-names: Sun
    given-names: Dayu
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/dayusun/pcdreg