SHELF
1.13.0Tools 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.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 98%
- Return-value docs
- 66%
- References docs
- 6%
Downloads
Repository
Stars over time
Forks over time
Issues over time
PRs over time
Repository practices
Checks run against github.com/oakleyj/shelf on 2026-07-19.
No development-tooling practices detected in the upstream repository.
Dependencies
Code & Tests
- Cyclomatic complexity
- 4.0 median / 80 max
- Test cases
- 41 / 0.14 per code line
Test coverage
Line coverage
19%
Expression
26.4%
Tests / Examples
18.5% / – ex
Functions
91 42 exported
Complexity
8.9 avg / 80 max
Call network
91 nodes / 123 edges
Call graph
Open call graph →Lowest coverage
91 functions| Function | Cyclo | Coverage |
|---|---|---|
| cdffeedback exp | 5 | 0% |
| compareGroupRIO exp | 12 | 0% |
| condDirichlet exp | 1 | 0% |
| elicit exp | 22 | 0% |
| elicitBivariate exp | 5 | 0% |
| elicitConcProb exp | 1 | 0% |
People & History
18 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- 1.12.02025-03-01 · diff ↗
- 1.11.02024-09-06 · diff ↗
- 1.10.02024-05-07 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.9.02023-06-07 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.8.02021-06-18 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.7.02020-02-08 · diff ↗
- 1.6.02019-06-14 · diff ↗
Show 14 earlier events
- RR 3.6.0 released · 2019-04-26
- 1.5.02019-03-26 · diff ↗
- 1.4.02018-08-16 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.3.02017-10-31 · diff ↗
- 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 ↗
- RR 3.3.0 released · 2016-05-03
- 1.1.02016-02-05 · diff ↗
- 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
- 311 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet