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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:

Please use the canonical formhttps://CRAN.R-project.org/package=SHELFto link to this page.


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