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)

Value

fitted.quantiles: Fitted quantiles for each expert
fitted.probabilities: Fitted probabilities for each expert
distributions: The distribution used to calculate fitted probabilities/quantiles for each expert, if feedback is given for multiple experts.

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<a). If this argument is left out, the default is to use the same values provided by the experts.
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.

Author

Jeremy Oakley <j.oakley@sheffield.ac.uk>

Examples

Run this code

if (FALSE) {
# 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

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