summary.clustMD

object

further arguments passed to or from other methods.

Prints a summary of a <code>clustMD</code> object to screen. Details the number
of clusters fitted as well as the covariance model and the estimated BIC.
Also prints a table detailing the number of observations in each cluster and
a matrix of the cluster means.

print

Model-based clustering of mixed data (i.e. data which consist of
continuous, binary, ordinal or nominal variables) using a parsimonious
mixture of latent Gaussian variable models.

Damien McParland

summary.clustMD: Summarise

Description

Usage

Arguments

Value

See Also