# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bayprior" in publications use:' type: software license: GPL-3.0-only title: 'bayprior: Bayesian Prior Elicitation and Diagnostics for Clinical Trials' version: 0.2.12 abstract: A toolkit for constructing, validating, and justifying Bayesian priors in clinical trial settings. Implements expert elicitation via quantile matching, the roulette method, and moment matching across six distribution families, linear and logarithmic expert pooling, prior-data conflict diagnostics including the Box p-value, surprise index, information divergence, and Mahalanobis distance, sensitivity analyses with tornado and influence heatmap plots, sceptical, robust, and power priors, and automated prior justification reports. Includes a fully modular 'Shiny' application for interactive use. Methods based on O'Hagan et al. (2006, ISBN:9780470029886), Box (1980) , Oakley and O'Hagan (2010) , Schmidli et al. (2014) , Ibrahim and Chen (2000) , Spiegelhalter et al. (1994) . authors: - family-names: Penn given-names: Ndoh email: ndohpenn9@gmail.com orcid: https://orcid.org/0009-0003-9054-465X preferred-citation: type: manual title: 'bayprior: Bayesian Prior Elicitation, Conflict Diagnostics and Sensitivity Analysis for Clinical Trials' authors: - family-names: Penn given-names: Ndoh email: ndohpenn9@gmail.com orcid: https://orcid.org/0009-0003-9054-465X year: '2026' notes: R package version 0.1.0 url: https://github.com/ndohpenngit/bayprior repository: https://cran.r-universe.dev repository-code: https://github.com/ndohpenngit/bayprior commit: ca3749ef57eeddb951fc738bf3f591af9298f4d2 url: https://github.com/ndohpenngit/bayprior date-released: '2026-06-03' contact: - family-names: Penn given-names: Ndoh email: ndohpenn9@gmail.com orcid: https://orcid.org/0009-0003-9054-465X