VoseBMAProb10

See also: VoseBMA, VoseBMAObject, VoseBMAProb, VoseCopulaBMA, VoseCopulaBMAObject, VoseTimeBMA, VoseTimeBMAObject

=VoseBMAProb10({x}, {DistributionFitObjects}, {Priors}, cumulative)

 

 

Example model

This function calculates log base 10 of the joint probability density (or probability mass) and joint cumulative probability for a set of values {x} against a BMA fitted distribution.

{x} – array containing one or more values

{DistributionFitObjects} – is an array of k distribution objects fitted to the same data set.

{Priors} – is an optional array of length k of subjective prior weights. If omitted, the weights are assumed equal.

cumulative - optional boolean parameter (TRUE/FALSE) specifying if the cumulative (TRUE) probability of the {x} should be returned or not (FALSE, default).

Note: all fitted distributions must apply to the same data set.

 

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