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:	1.10.0
Depends:	R (≥ 3.5.0)
Imports:	ggExtra, ggplot2, ggridges, graphics, grDevices, grid, Hmisc, rmarkdown, scales, shiny, shinyMatrix, sn, stats, tidyr, utils
Suggests:	GGally, knitr, testthat, vdiffr
Published:	2024-05-07
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

Documentation:

Reference manual:	SHELF.pdf
Vignettes:	Eliciting a Dirichlet Distribution Eliciting Dependent Distributions using Multivariate Normal Copulas Getting Started with SHELF

Downloads:

Package source:	SHELF_1.10.0.tar.gz
Windows binaries:	r-devel: SHELF_1.10.0.zip, r-release: SHELF_1.10.0.zip, r-oldrel: SHELF_1.10.0.zip
macOS binaries:	r-release (arm64): SHELF_1.10.0.tgz, r-oldrel (arm64): SHELF_1.10.0.tgz, r-release (x86_64): SHELF_1.10.0.tgz, r-oldrel (x86_64): SHELF_1.10.0.tgz
Old sources:	SHELF archive

Reverse dependencies:

Reverse imports:

convdistr, disbayes

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SHELF to link to this page.