MSclust (version 1.0.3)

summary.MSclust: Summary for MSclust

Description

Summarizes main information regarding a MSclust object.

Usage

# S3 method for MSclust
summary(object, ...)

Value

No return value, called to summarize the fitted model's results

Arguments

object

A MSclust object.

...

Arguments to be passed to methods, such as graphical parameters.

Details

Information includes clustering table, total outliers, outliers per cluster, mixing proportions, component means and variances.

Examples

## Not run: 
if (FALSE) {
data(sim)
result <- mscn(X = sim, k = 2, initialization = "kmeans", method = "BFGS")
summary(result)}
## End(Not run)