feedbackDirichlet

Given a (elicited) Dirichlet distribution, calculate quantiles for each marginal
beta distribution corresponding to the elicited quantiles

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

feedbackDirichlet function

<dl><dt>d</dt>
<dd>A vector of parameters of the Dirichlet distribution</dd>
<dt>quantiles</dt>
<dd>The desired quantiles for feedback</dd>
<dt>sf</dt>
<dd>The number of significant figures displayed</dd></dl>

Arguments

Jeremy Oakley &lt;j.oakley@sheffield.ac.uk&gt;

Author

Calculate quantiles for the marginal distributions of a Dirichlet distribution — feedbackDirichlet

<dl>

<dt>d</dt>
<dd>A vector of parameters of the Dirichlet distribution</dd>


<dt>quantiles</dt>
<dd>The desired quantiles for feedback</dd>


<dt>sf</dt>
<dd>The number of significant figures displayed</dd>

</dl>

feedbackDirichlet: Calculate quantiles for the marginal distributions of a Dirichlet distribution

Description

Usage

Value

Arguments

Author

Examples