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: 1.12.0 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: 2025-03-01 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: Linking:Please use the canonical form https://CRAN.R-project.org/package=SHELF to link to this page.
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