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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 "survextrap" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'survextrap: Bayesian Flexible Parametric Survival Modelling and Extrapolation'
version: 1.0.1
doi: 10.1186/s12874-023-02094-1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.survextrap
abstract: Survival analysis using a flexible Bayesian model for individual-level right-censored
  data, optionally combined with aggregate data on counts of survivors in different
  periods of time. An M-spline is used to describe the hazard function, with a prior
  on the coefficients that controls over-fitting. Proportional hazards or flexible
  non-proportional hazards models can be used to relate survival to predictors. Additive
  hazards (relative survival) models, waning treatment effects, and mixture cure models
  are also supported. Priors can be customised and calibrated to substantive beliefs.
  Posterior distributions are estimated using 'Stan', and outputs are arranged in
  a tidy format. See Jackson (2023) <https://doi.org/10.1186/s12874-023-02094-1>.
authors:
- family-names: Jackson
  given-names: Christopher
  email: chris.jackson@mrc-bsu.cam.ac.uk
  orcid: https://orcid.org/0000-0002-6656-8913
preferred-citation:
  type: article
  title: 'survextrap: a package for flexible and transparent survival extrapolation'
  authors:
  - family-names: Jackson
    given-names: Christopher
    email: chris.jackson@mrc-bsu.cam.ac.uk
    orcid: https://orcid.org/0000-0002-6656-8913
  journal: BMC Medical Research Methodology
  year: '2023'
  volume: '23'
  issue: '282'
  doi: 10.1186/s12874-023-02094-1
repository: https://cran.r-universe.dev
repository-code: https://github.com/chjackson/survextrap
commit: 4af6c2b52d349d0112e2b7751ec0fee522c5b5bf
url: https://chjackson.github.io/survextrap/
date-released: '2026-01-11'
contact:
- family-names: Jackson
  given-names: Christopher
  email: chris.jackson@mrc-bsu.cam.ac.uk
  orcid: https://orcid.org/0000-0002-6656-8913