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), ...)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.
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.
See Also
cv4postpr, plot.cv4postpr
Examples
Run this code## see ?cv4postpr for examples
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