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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 "exposureEM" in publications use:'
type: software
license: MIT
title: 'exposureEM: Combined-Exposure Models by EM and Marquardt Optimization'
version: 0.3.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.exposureEM
abstract: Fits general two-component combined-exposure models for binary event histories
  when the event setting is not observed. The observed binary event is represented
  as the union of two latent component-specific binary events. Known exposure proportions
  enter as offsets. Parameters can be estimated by expectation-maximization, direct
  Marquardt-damped Newton-Raphson maximization of the observed likelihood, or a hybrid
  that uses several expectation-maximization iterations before direct optimization.
  Uncertainty is estimated with Louis' formula for the expectation-maximization estimator
  and the inverse observed Hessian for direct and hybrid fits. Complementary log-log,
  logit, and log component links are available for all three estimation methods.
authors:
- family-names: Meng
  given-names: Wenjing
  email: w2meng@ucsd.edu
preferred-citation:
  type: unpublished
  title: 'A Combined Exposure Model for Binary Injury Histories: An EM Approach to
    Sport and Non-Sport Risk in Children'
  authors:
  - family-names: Meng
    given-names: Wenjing
    email: w2meng@ucsd.edu
  - family-names: Vaida
    given-names: Florin
  year: '2026'
  notes: Method implemented by the exposureEM R package
repository: https://w2meng.r-universe.dev
commit: 718e96be89e68d1ca161fdfe3c11ba420dc2bbb8
date-released: '2026-09-21'
contact:
- family-names: Meng
  given-names: Wenjing
  email: w2meng@ucsd.edu