abc: summary.cv4postpr – R documentation

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summary.cv4postpr

Confusion matrix and misclassification probabilities of models

Description

This function calculates the confusion matrix and the mean misclassification probabilities of models from an object of class "cv4postpr".

Usage

## S3 method for class 'cv4postpr'
summary(object, probs = TRUE, print = TRUE, digits =
max(3, getOption("digits")-3), ...)

Arguments

`object`	an object of class `"cv4postpr"`.
`probs`	logical, if `TRUE` (default), mean posterior model probabilities are returned.
`print`	logical, if `TRUE` prints the mean models probabilities.
`digits`	the digits to be rounded to.
`...`	other arguments.

Value

If probs=FALSE a matrix with the frequencies of the simulations classified to the different models (the confusion matrix). If probs=TRUE, a list with two components:

`conf.matrix`	The confusion matrix.
`probs`	The mean model misclassification probabilities.

Examples

## see ?cv4postpr for examples

abc

Tools for Approximate Bayesian Computation (ABC)

v2.1

GPL (>= 3)

Authors

Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre]

Initial release

2015-05-04