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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 |
| 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 |
| Reference manual: | SHELF.pdf |
| Vignettes: |
Eliciting a Dirichlet Distribution (source, R code) Getting Started with SHELF (source, R code) |
| Package source: | SHELF_1.11.0.tar.gz |
| Windows binaries: | r-devel: SHELF_1.11.0.zip, r-release: SHELF_1.11.0.zip, r-oldrel: SHELF_1.11.0.zip |
| macOS binaries: | r-release (arm64): SHELF_1.11.0.tgz, r-oldrel (arm64): SHELF_1.11.0.tgz, r-release (x86_64): SHELF_1.11.0.tgz, r-oldrel (x86_64): SHELF_1.11.0.tgz |
| Old sources: | SHELF archive |
| Reverse imports: | convdistr, disbayes |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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