elicitExtension

<p>Opens up a web browser (using the shiny package), from which you can specify
judgements, fit distributions, and produce various plots. Judgements are 
specified for the distribution of the conditioning variable Y, the median 
function (median of X given Y), and the distribution of X given that Y takes
its median value. Plots are provided for the two elicited distributions, the
median function, the conditional distribution of X for any specified Y, and
the marginal distribution of X.</p>

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.

Jeremy Oakley

SHELF

Tools to Support the Sheffield Elicitation Framework

elicitExtension function

<p>Jeremy Oakley &lt;j.oakley@sheffield.ac.uk&gt;</p>

elicitExtension: Elicitation with the extension method

Description

Usage

Arguments

Value

Author

Details

Examples