SHELF (version 1.2.0)

feedback: Report quantiles and probabilities from the fitted probability distributions

Description

Having fitted appropriate distributions to one or more expert's judgements individually using the fitdist command, use this command to get quantiles and probabilities from the fitted distributions

Usage

feedback(fit, quantiles = NA, values = NA, dist = "best", ex = NA, sf = 3)

Arguments

fit

An object of class elicitation.

quantiles

A vector of desired quantiles for feedback. If this argument is left out, the default is to use the same quantiles that were elicited from the experts.

values

A vector of desired probabilities; desired values of a for reporting back fitted values of P(X

dist

If fit contains judgements from multiple experts, dist is distribution to be used for calculating probabilities and quantiles. Options are "normal", "t", "gamma", "lognormal", "logt", "beta", or "best". The default option, "best", uses the best fitting distribution for each expert.

ex

If fit contains judgements from multiple experts, specifying a value for ex will select a single expert for feedback. Note that for a single expert, feedback is given for all suitable types of distribution, but for multiple experts, feedback is given for one type of distribution only.

sf

The number of significant figures to be displayed in the output.

Value

Examples

## Not run: 
# # Two experts
# # Expert 1 states P(X<30)=0.25, P(X<40)=0.5, P(X<50)=0.75
# # Expert 2 states P(X<20)=0.25, P(X<25)=0.5, P(X<35)=0.75
# # Both experts state 0<X<100.
# 
# v <- matrix(c(30, 40, 50, 20, 25, 35), 3, 2)
# p <- c(0.25, 0.5, 0.75)
# myfit <- fitdist(vals = v, probs = p, lower = 0, upper = 100)
# 
# feedback(myfit)
# 
# # Feedback P(X<60) and the tertiles
# feedback(myfit, values=60, quantiles=c(0.33,0.66))
# 
# # Compare fitted tertiles for different distributions, expert 2 only
# feedback(myfit, quantiles=c(0.33,0.66), ex=2)
# ## End(Not run)