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: |
1.12.0 |
| 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: |
2025-03-01 |
| 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:
Downloads:
Reverse dependencies:
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