summary.postpr {abc} | R Documentation |
This function extracts the posterior model probabilities and
calculates the Bayes factors from an object of class "postpr"
.
## S3 method for class 'postpr' summary(object, rejection = TRUE, print = TRUE, digits = max(3, getOption("digits")-3), ...)
object |
an object of class |
rejection |
logical, if method is |
print |
logical, if |
digits |
the digits to be rounded to. |
... |
other arguments. |
A list with the following components if method="rejection"
:
Prob |
an object of class |
BayesF |
an object of class |
A list with the following components if method is "mnlogistic"
or "neuralnet"
and rejection is TRUE
:
rejection |
a list with the same components as above |
mnlogistic |
a list with the same components as above |
## see ?postpr for examples