This function extracts the posterior model probabilities and
calculates the Bayes factors from an object of class "postpr".
# S3 method for postpr
summary(object, rejection = TRUE, print = TRUE, digits
= max(3, getOption("digits")-3), ...)A list with the following components if method="rejection":
an object of class table of the posterior model
probabilities.
an object of class table with the Bayes factors
between pairs of models.
A list with the following components if method is "mnlogistic"
or "neuralnet" and rejection is TRUE:
a list with the same components as above
a list with the same components as above
an object of class "postpr".
logical, if method is "mnlogistic" or "neuralnet",
should the approximate model probabilities based on the rejection
method returned.
logical, if TRUE prints the mean models probabilities.
the digits to be rounded to.
other arguments.
postpr