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ElicitationWizard

0.1.0

LLM-Based Bayesian Prior Elicitation Wizard

0packages depend
1.4Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

'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.

Changes in 0.1.0
  • Initial CRAN release.
  • Shiny application for LLM-based Bayesian prior elicitation.
  • Supports up to 4 parallel LLM experts with configurable models and temperatures.
  • Linear opinion pooling and Delphi iterative consensus methods.
  • Stan code generation from elicited priors.
  • 15 supported distribution families: Normal, Log-Normal, Beta, Gamma, Exponential, Half-Normal, Cauchy, Half-Cauchy, Uniform, Weibull, Poisson, Student-t, Inverse-Gamma, Log-Logistic, Pareto.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK7 OK2026-05-30
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesYes · 2 · staticNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check (under a condition)
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
100%
Help pages citing references
0%

Downloads

1.4K
CRAN downloads in the past year
Rank #15,968 · ~4/day · ~117/mo
Daily download trend is not available in this view yet.
28230 days
75590 days
1.4K1 year
Compare downloads with other packages →
Also on21 r2u3 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-04-21
Responsiveness
not measured
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/jefferyayiti/automated_elicitation on 2026-10-11.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing ElicitationWizard adds 48 packages (28 with compiled code, 35 MB of source tarballs). Heaviest: bslib 5.6 MB, promises 3.1 MB, ellmer 3.0 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-05-29 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-29
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
49 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ElicitationWizard")
Jeffery A. Kportufe. (2026). ElicitationWizard: LLM-Based Bayesian Prior Elicitation Wizard (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ElicitationWizard

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ElicitationWizard version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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