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.
|Date of publication||2016-11-14 16:27:26|
|Maintainer||Jeremy Oakley <email@example.com>|
|License||GPL-2 | GPL-3|
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