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cff-version: 1.2.0
message: 'To cite package "BayesianQDM" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'BayesianQDM: Bayesian Quantitative Decision-Making Framework for Binary, Continuous
  and Time-to-Event Endpoints'
version: 1.0.1
doi: 10.32614/CRAN.package.BayesianQDM
abstract: Bayesian quantitative decision-making for proof-of-concept clinical trials
  with Go, NoGo and Gray decisions. A study is specified by its sample sizes, conjugate
  prior distributions, external data borrowed through power priors, a concurrent,
  external, hypothetical or fixed control group, and a decision criterion based on
  the posterior or posterior predictive probability of the treatment effect. The package
  computes the decision for observed data, the operating characteristics of a design
  under scenarios for the true parameters, the decision thresholds that control the
  probabilities of false Go and false NoGo decisions, and the observed data that lead
  to each decision. One or two binary endpoints (Beta-binomial and Dirichlet-multinomial
  models), one or two continuous endpoints (Normal-Inverse-chi-squared and Normal-Inverse-Wishart
  models) and one time-to-event endpoint evaluated by the milestone survival probability
  or the hazard ratio (exponential model with Gamma priors) are supported, with larger
  or smaller effects as favorable. The posterior distributions have closed forms,
  so Markov chain Monte Carlo (MCMC) sampling is not needed; the probabilities are
  computed from closed-form distribution functions, by exact summation, numerical
  integration, a moment-matching approximation or Monte Carlo simulation, with the
  main computations in C++. See Kang, Yamaguchi, and Han (2026) <https://doi.org/10.1080/10543406.2026.2655410>
  for the methodological framework.
authors:
- family-names: Homma
  given-names: Gosuke
  email: my.name.is.gosuke@gmail.com
- family-names: Yamaguchi
  given-names: Yusuke
repository: https://cran.r-universe.dev
repository-code: https://github.com/gosukehommaEX/BayesianQDM
commit: 5426452883d0685a805f700a2f2fa2b152ca2d9d
url: https://gosukehommaEX.github.io/BayesianQDM/
date-released: '2026-10-31'
contact:
- family-names: Homma
  given-names: Gosuke
  email: my.name.is.gosuke@gmail.com