getOutput_clustMDparallel: Extracts relevant output from 'clustMDparallel' object

In clustMD: Model Based Clustering for Mixed Data

Extracts relevant output from clustMDparallel object

Description

This function takes a clustMDparallel object, a number of clusters and a covariance model as inputs. It then returns the output corresponding to that model. If the particular model is not contained in the clustMDparallel object then the function returns an error.

Usage

getOutput_clustMDparallel(resParallel, nClus, covModel)

Arguments

resParallel	a clustMDparallel object.
nClus	the number of clusters in the desired output.
covModel	the covariance model of the desired output.

Value

A clustMD object containing the output for the relevant model.

clustMD documentation built on Jan. 27, 2026, 5:10 p.m.