abc (version 2.1)

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 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

# NOT RUN {
## see ?cv4postpr for examples
# }