SHELF: Tools to Support the Sheffield Elicitation Framework

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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. 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.

Author
Jeremy Oakley
Date of publication
2016-11-14 16:27:26
Maintainer
Jeremy Oakley <j.oakley@sheffield.ac.uk>
License
GPL-2 | GPL-3
Version
1.2.2
URLs

View on CRAN

Man pages

cdffeedback
Feedback for the elicited distribution of the population CDF
cdfplot
Plot distribution of CDF
compareIntervals
Plot fitted intervals for each expert
copulaSample
Generate correlated samples from elicited marginal...
elicit
Elicit judgements and fit distributions interactively
elicitConcProb
Elicit a concordance probability for two uncertain...
feedback
Report quantiles and probabilities from the fitted...
feedbackDirichlet
Calculate quantiles for the marginal distributions of a...
fitDirichlet
Fit a Dirichlet distribution to elicited marginal...
fitdist
Fit distributions to elicited probabilities
fitprecision
Fit a distribution to judgements about a population precision
pdfplots
Plot fitted population pdfs
plinearpool
Calculate fitted probabilities or quantiles from a (weighted)...
plotfit
Plot the fitted density function for one or more experts
roulette
Elicit one set of probabilities using the roulette method.
SHELF-package
Tools to Support the Sheffield Elicitation Framework

Files in this package

SHELF
SHELF/inst
SHELF/inst/NEWS.md
SHELF/inst/doc
SHELF/inst/doc/Multivariate-normal-copula.Rmd
SHELF/inst/doc/Multivariate-normal-copula.R
SHELF/inst/doc/Dirichlet-elicitation.Rmd
SHELF/inst/doc/Multivariate-normal-copula.pdf
SHELF/inst/doc/SHELF-overview.R
SHELF/inst/doc/SHELF-overview.pdf
SHELF/inst/doc/Dirichlet-elicitation.pdf
SHELF/inst/doc/SHELF-overview.Rmd
SHELF/inst/doc/Dirichlet-elicitation.R
SHELF/tests
SHELF/tests/testthat.R
SHELF/tests/testthat
SHELF/tests/testthat/test-fitting.R
SHELF/NAMESPACE
SHELF/R
SHELF/R/expertprobs.R
SHELF/R/elicitConcProb.R
SHELF/R/fitdist.R
SHELF/R/makeLinearPoolPlot.R
SHELF/R/logt.error.R
SHELF/R/expertquantiles.R
SHELF/R/gamma.error.R
SHELF/R/cdfplot.R
SHELF/R/normal.error.R
SHELF/R/shinyplotgroup.R
SHELF/R/plotfit.R
SHELF/R/roulette.R
SHELF/R/lognormal.error.R
SHELF/R/feedback.R
SHELF/R/beta.error.R
SHELF/R/qlinearpool.R
SHELF/R/plotsingle.R
SHELF/R/qhist.R
SHELF/R/feedbackgroup.R
SHELF/R/makeSingleExpertPlot.R
SHELF/R/plinearpool.R
SHELF/R/histdensity.R
SHELF/R/cdffeedback.R
SHELF/R/elicitDirichlet.R
SHELF/R/phist.R
SHELF/R/feedbacksingle.R
SHELF/R/multiplot.R
SHELF/R/compareExperts.R
SHELF/R/plotlinearpool.R
SHELF/R/expertdensity.R
SHELF/R/makeGroupPlot.R
SHELF/R/dhist.R
SHELF/R/SHELF-package.R
SHELF/R/t.error.R
SHELF/R/elicitCopula.R
SHELF/R/fitprecision.R
SHELF/R/elicit.R
SHELF/R/pdfplots.R
SHELF/R/shinyplotsingle.R
SHELF/R/cdfHelperfunctions.R
SHELF/vignettes
SHELF/vignettes/Multivariate-normal-copula.Rmd
SHELF/vignettes/Dirichlet-elicitation.Rmd
SHELF/vignettes/SHELF-overview.Rmd
SHELF/MD5
SHELF/build
SHELF/build/vignette.rds
SHELF/DESCRIPTION
SHELF/man
SHELF/man/plinearpool.Rd
SHELF/man/pdfplots.Rd
SHELF/man/feedback.Rd
SHELF/man/plotfit.Rd
SHELF/man/fitDirichlet.Rd
SHELF/man/elicitConcProb.Rd
SHELF/man/copulaSample.Rd
SHELF/man/roulette.Rd
SHELF/man/cdfplot.Rd
SHELF/man/compareIntervals.Rd
SHELF/man/fitprecision.Rd
SHELF/man/fitdist.Rd
SHELF/man/elicit.Rd
SHELF/man/cdffeedback.Rd
SHELF/man/feedbackDirichlet.Rd
SHELF/man/SHELF-package.Rd