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.
|Depends:||R (≥ 3.3.1)|
|Imports:||ggplot2, grid, shiny, stats, graphics, tidyr, MASS, ggExtra|
|Suggests:||testthat, knitr, rmarkdown, GGally|
|Maintainer:||Jeremy Oakley <j.oakley at sheffield.ac.uk>|
|License:||GPL-2 | GPL-3|
|CRAN checks:||SHELF results|
Eliciting a Dirichlet Distribution
Eliciting Dependent Distributions using Multivariate Normal Copulas
Getting Started with SHELF
|Windows binaries:||r-devel: SHELF_1.2.3.zip, r-release: SHELF_1.2.3.zip, r-oldrel: SHELF_1.2.3.zip|
|OS X El Capitan binaries:||r-release: SHELF_1.2.3.tgz|
|OS X Mavericks binaries:||r-oldrel: SHELF_1.2.3.tgz|
|Old sources:||SHELF archive|
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