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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 "BayesianMCPMod" in publications use:'
type: software
license: Apache-2.0
title: 'BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian
  MCPMod'
version: 1.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.BayesianMCPMod
abstract: Bayesian MCPMod (Fleischer et al. (2022) <https://doi.org/10.1002/pst.2193>)
  is an innovative method that improves the traditional MCPMod by systematically incorporating
  historical data, such as previous placebo group data. This R package offers functions
  for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally distributed
  endpoints. It enables the assessment of trial designs incorporating historical data
  across various true dose-response relationships and sample sizes. Robust mixture
  prior distributions, such as those derived with the Meta-Analytic-Predictive approach
  (Schmidli et al. (2014) <https://doi.org/10.1111/biom.12242>), can be specified
  for each dose group. Resulting mixture posterior distributions are used in the Bayesian
  Multiple Comparison Procedure and modeling steps. The modeling step also includes
  a weighted model averaging approach (Pinheiro et al. (2014) <https://doi.org/10.1002/sim.6052>).
  Estimated dose-response relationships can be bootstrapped and visualized.
authors:
- family-names: Wojciekowski
  given-names: Stephan
  email: stephan.wojciekowski@boehringer-ingelheim.com
- family-names: Andersen
  given-names: Lars
  email: lars.andersen@boehringer-ingelheim.com
- family-names: Bossert
  given-names: Sebastian
  email: sebastian.bossert@boehringer-ingelheim.com
preferred-citation:
  type: manual
  title: 'BayesianMCPMod: Simulate, Evaluate, and Analyze Dose Finding Trials with
    Bayesian MCPMod'
  authors:
  - family-names: Wojciekowski
    given-names: Stephan
    email: stephan.wojciekowski@boehringer-ingelheim.com
  - family-names: Andersen
    given-names: Lars
    email: lars.andersen@boehringer-ingelheim.com
  - family-names: Bossert
    given-names: Sebastian
    email: sebastian.bossert@boehringer-ingelheim.com
  year: '2025'
  notes: R package version 1.1.0
  url: https://CRAN.R-project.org/package=bhmbasket
repository: https://CRAN.R-project.org/package=BayesianMCPMod
repository-code: https://github.com/Boehringer-Ingelheim/BayesianMCPMod
url: https://boehringer-ingelheim.github.io/BayesianMCPMod/
date-released: '2025-03-07'
contact:
- family-names: Wojciekowski
  given-names: Stephan
  email: stephan.wojciekowski@boehringer-ingelheim.com