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SHELF (version 1.9.0)

SHELF-package: Tools to Support the Sheffield Elicitation Framework

Description

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, and eliciting distributions for variance parameters in a random effects meta-analysis model. R Shiny apps for most of the methods are included.

Package:SHELF
Type:Package
Version:1.9.0
Date:2023-05-31
License:GPL-2 | GPL-3

Arguments

Author

Jeremy Oakley <j.oakley@sheffield.ac.uk>

References

The SHELF homepage

Examples

Run this code
if (FALSE) {
## 1) Elicit judgements from two experts individually 
# Expert A states P(X<30)=0.25, P(X<40)=0.5, P(X<50)=0.75
# Expert B states P(X<20)=0.25, P(X<25)=0.5, P(X<35)=0.75
# Both experts state 0

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