{ "_id": "6a27abcd24555f66ed5345e2", "Type": "Package", "Package": "SHELF", "Title": "Tools to Support the Sheffield Elicitation Framework", "Version": "1.13.0", "Date": "2026-04-02", "Authors@R": "person(given = \"Jeremy\",\nfamily = \"Oakley\",\nrole = c(\"aut\", \"cre\"),\nemail = \"j.oakley@sheffield.ac.uk\")", "Description": "Implements various methods for eliciting a probability\ndistribution for a single parameter from an expert or a group\nof experts. The expert provides a small number of probability\njudgements, corresponding to points on his or her cumulative\ndistribution function. A range of parametric distributions can\nthen be fitted and displayed, with feedback provided in the\nform of fitted probabilities and percentiles. For multiple\nexperts, a weighted linear pool can be calculated. Also\nincludes functions for eliciting beliefs about population\ndistributions; eliciting multivariate distributions using a\nGaussian copula; eliciting a Dirichlet distribution; eliciting\ndistributions for variance parameters in a random effects\nmeta-analysis model; survival extrapolation. R Shiny apps for\nmost of the methods are included.", "License": "GPL-2 | GPL-3", "URL": "https://github.com/OakleyJ/SHELF", "BugReports": "https://github.com/OakleyJ/SHELF/issues", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "cmake make libicu-dev libjpeg-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev zlib1g-dev", "Repository": "https://oakleyj.r-universe.dev", "Date/Publication": "2026-04-02 15:23:39 UTC", "RemoteUrl": "https://github.com/oakleyj/shelf", "RemoteRef": "HEAD", "RemoteSha": "8a72124267fcc0d2c9a211495f35769677e99260", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-08 07:05:44 UTC", "User": "root" }, "Author": "Jeremy Oakley [aut, cre]", "Maintainer": "Jeremy Oakley ", "MD5sum": "113ac8d8461431e60f3461235c9482c2", "_user": "oakleyj", "_type": "src", "_file": "SHELF_1.13.0.tar.gz", "_fileid": "8a4956edb00d171c3b1b64b43fb1ee48f716429a80c0524c5e4297b3ad388f98", "_filesize": 683282, "_sha256": 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"copulaSample", "title": "Generate correlated samples from elicited marginal distributions using a multivariate normal copula", "topics": [ "copulaSample" ] }, { "page": "elicit", "title": "Elicit judgements and fit distributions interactively", "topics": [ "elicit", "elicitQuartiles", "elicitTertiles", "roulette" ] }, { "page": "elicitBivariate", "title": "Elicit a bivariate distribution using a Gaussian copula", "topics": [ "elicitBivariate", "elicitConcProb" ] }, { "page": "elicitDirichlet", "title": "Elicit a Dirichlet distribution interactively", "topics": [ "condDirichlet", "elicitDirichlet" ] }, { "page": "elicitExtension", "title": "Elicitation with the extension method", "topics": [ "elicitExtension" ] }, { "page": "elicitHeterogen", "title": "Elicit a prior distribution for a random effects variance parameter", "topics": [ "elicitHeterogen" ] }, { "page": "elicitMixture", "title": "Elicit a mixture distribution using the extension method", "topics": [ "elicitMixture" ] }, { "page": "elicitMultiple", "title": "Elicit individual judgements and fit distributions for multiple experts", "topics": [ "elicitMultiple" ] }, { "page": "elicitSHELF", "title": "SHELF Elicitation", "topics": [ "elicitSHELF" ] }, { "page": "elicitSurvivalExtrapolation", "title": "Elicitation for survival extrapolation", "topics": [ "elicitSurvivalExtrapolation" ] }, { "page": "feedback", "title": "Report quantiles and probabilities from the fitted probability distributions", "topics": [ "feedback" ] }, { "page": "feedbackDirichlet", "title": "Calculate quantiles for the marginal distributions of a Dirichlet distribution", "topics": [ "feedbackDirichlet" ] }, { "page": "fitDirichlet", "title": "Fit a Dirichlet distribution to elicited marginal distributions for proportions", "topics": [ "fitDirichlet" ] }, { "page": "fitdist", "title": "Fit distributions to elicited probabilities", "topics": [ "fitdist" ] }, { "page": "fitprecision", "title": "Fit a distribution to judgements about a population precision", "topics": [ "fitprecision" ] }, { "page": "generateReport", "title": "Generate a report to show the fitted distributions", "topics": [ "generateReport" ] }, { "page": "linearPoolDensity", "title": "Obtain points on the density function of a linear pool", "topics": [ "linearPoolDensity" ] }, { "page": "makeCDFPlot", "title": "Plot the elicited cumulative probabilities", "topics": [ "makeCDFPlot" ] }, { "page": "makeSurvivalTable", "title": "Tabulate Summary Data for Survival Extrapolation", "topics": [ "makeSurvivalTable" ] }, { "page": "pdfplots", "title": "Plot fitted population pdfs", "topics": [ "pdfplots" ] }, { "page": "plinearpool", "title": "Probabilities quantiles and samples from a (weighted) linear pool", "topics": [ "plinearpool", "qlinearpool", "rlinearpool" ] }, { "page": "plotConditionalDensities", "title": "Plot density of the target variable, conditional on the extension variable", "topics": [ "plotConditionalDensities" ] }, { "page": 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