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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 "PScr" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'PScr: Estimation for the Power Series Cure Rate Model'
version: '1.1'
doi: 10.32614/CRAN.package.PScr
abstract: Provide estimation for particular cases of the power series cure rate model
  <https://doi.org/10.1080/03610918.2011.639971>. For the distribution of the concurrent
  causes the alternative models are the Poisson, logarithmic, negative binomial and
  Bernoulli (which are includes in the original work), the polylogarithm model <https://doi.org/10.1080/00949655.2018.1451850>
  and the Flory-Schulz <https://doi.org/10.3390/math10244643>. The estimation procedure
  is based on the EM algorithm discussed in <https://doi.org/10.1080/03610918.2016.1202276>.
  For the distribution of the time-to-event the alternative models are slash half-normal,
  Weibull, gamma and Birnbaum-Saunders distributions.
authors:
- family-names: Gallardo
  given-names: Diego
  email: diego.gallardo.mateluna@gmail.com
repository: https://diegogallardo87.r-universe.dev
commit: a152b1dac1a18aba1ff9e17cb968e8327a1c344a
date-released: '2023-04-03'
contact:
- family-names: Gallardo
  given-names: Diego
  email: diego.gallardo.mateluna@gmail.com