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, and eliciting distributions for variance parameters in a random effects meta-analysis model. R Shiny apps for most of the methods are included.
| Version: | 1.8.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, grid, shiny, stats, graphics, tidyr, MASS, ggExtra, gridExtra, scales, rmarkdown, grDevices, shinyMatrix, utils, ggridges, Hmisc |
| Suggests: | testthat, knitr, GGally |
| Published: | 2021-06-18 |
| 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_1.8.0.tar.gz |
| Windows binaries: | r-devel: SHELF_1.8.0.zip, r-release: SHELF_1.8.0.zip, r-oldrel: SHELF_1.8.0.zip |
| macOS binaries: | r-release (arm64): SHELF_1.8.0.tgz, r-oldrel (arm64): SHELF_1.8.0.tgz, r-release (x86_64): SHELF_1.8.0.tgz, r-oldrel (x86_64): SHELF_1.8.0.tgz |
| Old sources: | SHELF archive |
| Reverse imports: | convdistr |
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