elicitConcProb: Elicit a concordance probability for two uncertain...

In SHELF: Tools to Support the Sheffield Elicitation Framework

Elicit a concordance probability for two uncertain quantities, and plot a joint sample

Description

Given two elicited marginal distributions, open a browser in which one specifies a quadrant probability P(X_1 > m_1, X_2 > m_2), where m_1 and m_2 are the elicited medians of X_1 and X_2. A joint sample from the distribution of X_1 and X_2 is generated, using the two elicited marginal distributions and a bivariate normal copula.

Usage

elicitConcProb(fit1, fit2, m1, m2, d = c("best", "best"), n = 10000)

Arguments

fit1	An elicitation fit produced from the fitdist command for the first uncertain quantity X_1.
fit2	An elicitation fit produced from the fitdist command for the second uncertain quantity X_2.
m1	The elicited (or fitted) median of X_1.
m2	The elicited (or fitted) median of X_2.
d	A vector of distributions to be used for each elicited quantity: a string with elements chosen from "normal", "t", "gamma", "lognormal", "logt", "beta", "hist". The default is to use the best fitting distribution in each case.
n	The number of sampled (X_1, X_2) pairs to be plotted.

Value

A matrix of sampled values, one row per sample.

Author(s)

Jeremy Oakley <[e-mail]>

Examples

## Not run: 
p1 <- c(0.25, 0.5, 0.75)
v1 <- c(0.5, 0.55, 0.6)
v2 <- c(0.22, 0.3, 0.35)
myfit1 <- fitdist(v1, p1, 0, 1)
myfit2 <- fitdist(v2, p1, 0, 1)
elicitConcProb(myfit1, myfit2, 0.55, 0.3, d=c("beta", "beta"))

## End(Not run)

SHELF documentation built on June 7, 2023, 5:11 p.m.