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.

Version: 1.5.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, grid, shiny, stats, graphics, tidyr, MASS, ggExtra, gridExtra, scales, rmarkdown, grDevices, shinyMatrix, utils
Suggests: testthat, knitr, GGally
Published: 2019-03-26
Author: Jeremy Oakley
Maintainer: Jeremy Oakley <j.oakley at sheffield.ac.uk>
BugReports: https://github.com/OakleyJ/SHELF/issues
License: GPL-2 | GPL-3
URL: https://github.com/OakleyJ/SHELF
NeedsCompilation: no
Materials: NEWS
CRAN checks: SHELF results

Downloads:

Reference manual: SHELF.pdf
Vignettes: Eliciting a Dirichlet Distribution
Eliciting Dependent Distributions using Multivariate Normal Copulas
Getting Started with SHELF
Package source: SHELF_1.5.0.tar.gz
Windows binaries: r-devel: SHELF_1.5.0.zip, r-release: SHELF_1.5.0.zip, r-oldrel: SHELF_1.3.0.zip
OS X binaries: r-release: SHELF_1.5.0.tgz, r-oldrel: SHELF_1.3.0.tgz
Old sources: SHELF archive

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