BayesianQDM

0.1.0

Bayesian Quantitative Decision-Making Framework for Binary and Continuous Endpoints

0packages depend

1.4Kdownloads / year

46.4%test coverage

13/13checks pass

Overview

About

Maintained by Gosuke HommaFirst published 2026-04-221 releasesCRAN page ↗GitHub ↗

Provides comprehensive methods to calculate posterior probabilities, posterior predictive probabilities, and Go/NoGo/Gray decision probabilities for quantitative decision-making under a Bayesian paradigm in clinical trials. The package supports both single and two-endpoint analyses for binary and continuous outcomes, with controlled, uncontrolled, and external designs. For single continuous endpoints, three calculation methods are available: numerical integration (NI), Monte Carlo simulation (MC), and Moment-Matching approximation (MM). For two continuous endpoints, a bivariate Normal-Inverse-Wishart conjugate model is implemented with MC and MM methods. For two binary endpoints, a Dirichlet-multinomial model is implemented. External designs incorporate historical data through power priors using exact conjugate representations (Normal-Inverse-Chi-squared for single continuous, Normal-Inverse-Wishart for two continuous, and Dirichlet for binary endpoints), enabling closed-form posterior computation without Markov chain Monte Carlo (MCMC) sampling. This approach significantly reduces computational burden while preserving complete Bayesian rigor. The package also provides grid-search functions to find optimal Go and NoGo thresholds that satisfy user-specified operating characteristic criteria for all supported endpoint types and study designs. S3 print() and plot() methods are provided for all decision probability classes, enabling formatted display and visualisation of Go/NoGo/Gray operating characteristics across treatment scenarios. See Kang, Yamaguchi, and Han (2026) doi:10.1080/10543406.2026.2655410 for the methodological framework.

Install

R (CRAN)pak (dev)Ubuntu (r2u)openSUSE (OBS)

install.packages("BayesianQDM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("gosukehommaEX/BayesianQDM")

Development version from gosukehommaEX/BayesianQDM. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bayesianqdm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BayesianQDM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.6 min · r-devel-linux-x86_64-fedora-clang

Check history

OK2026-04-22
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation signals are not tracked yet for this package.

Downloads

1.4K

CRAN downloads in the past year

Rank #7,830 · ~4/day · ~118/mo

BayesianQDM Releases R versions

Daily download trend is not available in this view yet.

29930 days

1.4K90 days

1.4K1 year

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Also on26 r2u72 autocran

Repository

GitHub ↗ gosukehommaex/bayesianqdm

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0Releases

bayesian-statisticsclinical-trialsposterior-predictiveposterior-probabilitypower-priorquantitative-decision-making

Last activity 2026-04-22

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/gosukehommaex/bayesianqdm on 2026-07-19.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (4)

ggplot2 gridExtra mvtnormstats

LinkingTo (0)

none

Suggests (7)

testthat knitr rmarkdown dplyr tidyr purrr spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Maintainer (1)

Gosuke Homma

Author, Maintainer

Authors (2)

Gosuke Homma

Author, Maintainer

Yusuke Yamaguchi

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
2026-04-22 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-22
Total releases: 1 / 1 yrs
License: GPL (>= 2) OSI
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

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