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. A graphical interface for the roulette elicitation method is also provided. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions.
Version: | 1.4.0 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2, grid, shiny, stats, graphics, tidyr, MASS, ggExtra, gridExtra, scales, rmarkdown, grDevices |
Suggests: | testthat, knitr, GGally |
Published: | 2018-08-16 |
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 |
Reference manual: | SHELF.pdf |
Vignettes: |
Eliciting a Dirichlet Distribution Eliciting Dependent Distributions using Multivariate Normal Copulas Getting Started with SHELF |
Package source: | SHELF_1.4.0.tar.gz |
Windows binaries: | r-devel: SHELF_1.4.0.zip, r-release: SHELF_1.4.0.zip, r-oldrel: SHELF_1.3.0.zip |
OS X binaries: | r-release: SHELF_1.4.0.tgz, r-oldrel: SHELF_1.3.0.tgz |
Old sources: | SHELF archive |
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