summary.postpr

an object of class <code>"postpr"</code>.

object

logical, if method is <code>"mnlogistic"</code> or <code>"neuralnet"</code>,
    should the approximate model probabilities based on the rejection
    method returned.

rejection

This function extracts the posterior model probabilities and
  calculates the Bayes factors from an object of class <code>"postpr"</code>.

models

The 'abc' package provides various functions for parameter
        estimation and model selection in an ABC framework. Three main
        functions are available: (i) 'abc' implements several ABC
        inference algorithms, (ii) 'cv4abc' is a cross-validation tool
        to evaluate the quality of the estimation and help the choice
        of tolerance rate, and (iii) 'postpr' implements model
        selection in an ABC setting. All these functions are
        accompanied by appropriate summary and plotting functions.

summary.postpr: Posterior model probabilities and Bayes factors

Description

Usage

Arguments

Value

See Also

Examples