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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 "BayesianPlatformDesignTimeTrend" in publications use:'
type: software
license: MIT
title: 'BayesianPlatformDesignTimeTrend: Simulate and Analyse Bayesian Platform Trial
  with Time Trend'
version: 1.2.3
doi: 10.32614/CRAN.package.BayesianPlatformDesignTimeTrend
abstract: 'Simulating the sequential multi-arm multi-stage or platform trial with
  Bayesian approach using the ''rstan'' package, which provides the R interface for
  the Stan. This package supports fixed ratio and Bayesian adaptive randomization
  approaches for randomization. Additionally, it allows for the study of time trend
  problems in platform trials. There are demos available for a multi-arm multi-stage
  trial with two different null scenarios, as well as for Bayesian trial cutoff screening.
  The Bayesian adaptive randomisation approaches are described in: Trippa et al. (2012)
  <https://doi.org/10.1200/JCO.2011.39.8420> and Wathen et al. (2017) <https://doi.org/10.1177/1740774517692302>.
  The randomisation algorithm is described in: Zhao W <https://doi.org/10.1016/j.cct.2015.06.008>.
  The analysis methods of time trend effect in platform trial are described in: Saville
  et al. (2022) <https://doi.org/10.1177/17407745221112013> and Bofill Roig et al.
  (2022) <https://doi.org/10.1186/s12874-022-01683-w>.'
authors:
- family-names: Wang
  given-names: Ziyan
  email: zw7g20@soton.ac.uk
repository: https://cran.r-universe.dev
repository-code: https://github.com/ZXW834/BayesianPlatformDesignTimeTrend
commit: 2a274d69e7a185be7ab5cc4b6e1a9c9bab49f8a0
url: https://github.com/ZXW834/BayesianPlatformDesignTimeTrend
date-released: '2023-12-08'
contact:
- family-names: Wang
  given-names: Ziyan
  email: zw7g20@soton.ac.uk