SHELF (version 1.12.0)

elicitBivariate: Elicit a bivariate distribution using a Gaussian copula

Description

Opens up a web browser (using the shiny package), from which you can specify judgements, fit distributions, plot the fitted density functions, and plot samples from the joint distributions. A joint distribution is constructed using a Gaussian copula, whereby the correlation parameter is determined via the elicitation of a concordance probability (a probability that the two uncertain quantities are either both greater than their medians, or both less than their medians.)

Usage

elicitBivariate()

Value

A list, with two objects of class elicitation, and the elicited concordance probability. See fitdist for details.

Author

Jeremy Oakley <[e-mail]>

Details

Click on the "Help" tab for instructions. Click the "Quit" button to exit the app and return the results from the fitdist command. Click "Download report" to generate a report of all the fitted distributions for each uncertain quantity, and "Download sample" to generate a csv file with a sample from the joint distribution.

Examples

if (FALSE) {

elicitBivariate()

}