SHELF: Tools to Support the Sheffield Elicitation Framework (original) (raw)
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: | 1.11.0 |
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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: | 2024-09-06 |
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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