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. A graphical interface for the roulette elicitation method is also provided. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions.

Version: 1.2.3
Depends: R (≥ 3.3.1)
Imports: ggplot2, grid, shiny, stats, graphics, tidyr, MASS, ggExtra
Suggests: testthat, knitr, rmarkdown, GGally
Published: 2017-02-11
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_1.2.3.tar.gz
Windows binaries: r-devel: SHELF_1.2.3.zip, r-release: SHELF_1.2.3.zip, r-oldrel: SHELF_1.2.3.zip
OS X El Capitan binaries: r-release: SHELF_1.2.3.tgz
OS X Mavericks binaries: r-oldrel: SHELF_1.2.3.tgz
Old sources: SHELF archive

Linking:

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