Tools to Support the Sheffield Elicitation Framework
Overview
Implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions; eliciting multivariate distributions using a Gaussian copula; eliciting a Dirichlet distribution; eliciting distributions for variance parameters in a random effects meta-analysis model; survival extrapolation. R Shiny apps for most of the methods are included.
- new tabs in survivalModelExtrapolations() for eliciting RIO judgements and comparing RIO to individual judgements
- new app elicitSHELF() for implementing the main SHELF protocol (individual and RIO judgements) in one app
- both survivalModelExtrapolations() and elicitSHELF() include new visualisation for eliciting RIO judgemetns, based on roulette
- solver argument changed in sn::qsn() to make feedback more robust
From inst/NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 36 (1 internal)includes a package overview page
- Examples that run
- 0%35 never run
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 66%
- Help pages citing references
- 6%
Downloads
Repository
- PRs merged (all time)
- 50%
- Median days to close, 50 most recently updated closed issues
- 24
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
Forks over time
Issues over time
PRs over time
Checks run against github.com/oakleyj/shelf on 2026-10-18.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing SHELF adds 135 packages (71 with compiled code, 116 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.13.0Latest
- 1.12.12025-11-17 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.12.0
- 1.11.02024-09-06 · diff ↗ ·
added 3 exports
elicitSurvivalExtrapolation, survivalModelExtrapolations, survivalScenario - 1.10.02024-05-07 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.9.0
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.8.0
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.7.0
- 1.6.02019-06-14 · diff ↗ ·
added 5 exports
elicitExtension, makeCDFPlot, plotConditionalDensities, plotConditionalMedianFunction, sampleMarginalFit
Show 14 earlier eventsHide 14 earlier events
- RR 3.6.0 released · 2019-04-26
- 1.5.0
- 1.4.02018-08-16 · diff ↗ ·
added 6 exports
condDirichlet, elicitQuartiles, elicitTertiles, generateReport, plotQuartiles, plotTertiles - RR 3.5.0 released · 2018-04-23
- 1.3.0
- RR 3.4.0 released · 2017-04-21
- 1.2.32017-02-11 · diff ↗
- 1.2.22016-11-14 · diff ↗
- 1.2.12016-10-03 · diff ↗
- 1.2.02016-08-17 · diff ↗ ·
added 5 exports
compareIntervals, copulaSample, elicitConcProb, feedbackDirichlet, fitDirichlet - RR 3.3.0 released · 2016-05-03
- 1.1.0
- 1.0.12015-07-07
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-07-07
- Total releases
- 18 / 11 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 322 KB
Cite
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Run in R for the authors' preferred citation:
citation("SHELF")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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