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

Version:	1.12.1
Depends:	R (≥ 3.5.0)
Imports:	flexsurv, ggExtra, ggplot2, ggridges, graphics, grDevices, grid, Hmisc, rmarkdown, scales, shiny, shinyMatrix, sn, stats, survival, survminer, tidyr, utils
Suggests:	GGally, knitr, testthat, vdiffr
Published:	2025-11-17
DOI:	10.32614/CRAN.package.SHELF
Author:	Jeremy Oakley [aut, cre]
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.html , SHELF.pdf
Vignettes:	Eliciting a Dirichlet Distribution (source, R code) Getting Started with SHELF (source, R code)

Downloads:

Package source:	SHELF_1.12.1.tar.gz
Windows binaries:	r-devel: SHELF_1.12.1.zip, r-release: SHELF_1.12.1.zip, r-oldrel: SHELF_1.12.1.zip
macOS binaries:	r-release (arm64): SHELF_1.12.1.tgz, r-oldrel (arm64): SHELF_1.12.1.tgz, r-release (x86_64): SHELF_1.12.1.tgz, r-oldrel (x86_64): SHELF_1.12.1.tgz
Old sources:	SHELF archive

Reverse dependencies:

Reverse imports:	convdistr, disbayes, DTEAssurance, expertsurv
Reverse suggests:	survextrap

Linking:

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