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.matrixThe confusion matrix.
probsThe mean model misclassification probabilities.