OakleyJ/SHELF: Tools to Support the Sheffield Elicitation Framework

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.

Getting started

Package details

AuthorJeremy Oakley
MaintainerJeremy Oakley <j.oakley@sheffield.ac.uk>
LicenseGPL-2 | GPL-3
Version1.7.0.9000
URL https://github.com/OakleyJ/SHELF
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("OakleyJ/SHELF")
OakleyJ/SHELF documentation built on March 3, 2021, 6:30 p.m.