print.clustMDparallel

further arguments passed to or from other methods.

Prints basic details of <code>clustMDparallel</code> object. Outputs the different
numbers of clusters and the different covariance structures fitted to the
data. It also states which model was optimal according to the estimated BIC
criterion.

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

print.clustMDparallel: Print basic details of

Description

Usage

Arguments

Value

See Also