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'Shiny' application for eliciting Bayesian prior distributions using large language models (LLMs). Supports multiple LLM experts, linear opinion pooling, and the Delphi method for iterative consensus. For more details see J. R. Falconer et al. (2022) <doi:10.1287/deca.2022.0451> and D. Selby et al. (2025) <doi:10.1002/sta4.70054>.
| Version: | 0.1.0 |
| Imports: | shiny, bslib, ellmer, future, promises, shinyjs, commonmark |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, pak |
| Published: | 2026-05-29 |
| DOI: | 10.32614/CRAN.package.ElicitationWizard |
| Author: | Jeffery A. Kportufe [aut, cre] |
| Maintainer: | Jeffery A. Kportufe <ayitikpo at rptu.de> |
| BugReports: | https://github.com/JefferyAyiti/Automated_Elicitation/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/JefferyAyiti/Automated_Elicitation |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | ElicitationWizard results |
| Reference manual: | ElicitationWizard.html , ElicitationWizard.pdf |
| Vignettes: |
Getting Started with ElicitationWizard (source, R code) Tutorial: Eliciting Bayesian Priors with ElicitationWizard (source, R code) |
| Package source: | ElicitationWizard_0.1.0.tar.gz |
| Windows binaries: | r-devel: ElicitationWizard_0.1.0.zip, r-release: ElicitationWizard_0.1.0.zip, r-oldrel: ElicitationWizard_0.1.0.zip |
| macOS binaries: | r-release (arm64): ElicitationWizard_0.1.0.tgz, r-oldrel (arm64): ElicitationWizard_0.1.0.tgz, r-release (x86_64): ElicitationWizard_0.1.0.tgz, r-oldrel (x86_64): ElicitationWizard_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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