'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 (may not be active yet) |
| 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: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): ElicitationWizard_0.1.0.tgz, r-oldrel (x86_64): ElicitationWizard_0.1.0.tgz |
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