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# CITATION 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 "pseudoCure" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'pseudoCure: A Pseudo-Observations Approach for Analyzing Survival Data with
  a Cure Fraction'
version: 1.0.0
doi: 10.32614/CRAN.package.pseudoCure
abstract: A collection of easy-to-use tools for regression analysis of survival data
  with a cure fraction proposed in Su et al. (2022) <https://doi.org/10.1177/09622802221108579>.
  The modeling framework is based on the Cox proportional hazards mixture cure model
  and the bounded cumulative hazard (promotion time cure) model. The pseudo-observations
  approach is utilized to assess covariate effects and embedded in the variable selection
  procedure.
authors:
- family-names: Chiou
  given-names: Sy Han (Steven)
  email: schiou@smu.edu
- family-names: Su
  given-names: Chien-Lin
  email: marksu740824@gmail.com
- family-names: Lin
  given-names: Feng-Chang
  email: flin@bios.unc.edu
repository: https://stc04003.r-universe.dev
commit: 3e1e3a77f78407d19a3ebd9070f842e7f3a18bc6
date-released: '2025-02-05'
contact:
- family-names: Chiou
  given-names: Sy Han (Steven)
  email: schiou@smu.edu