summary.cv4postpr: Confusion matrix and misclassification probabilities of...

In bcm-uga/abc: Tools for Approximate Bayesian Computation (ABC)

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.

See Also

cv4postpr, plot.cv4postpr

Examples

## see ?cv4postpr for examples

bcm-uga/abc documentation built on May 11, 2019, 3:03 p.m.