calc.SE.rowcluster      Calculate standard errors of clustering
                        parameters.
calc.cluster.comparisons
                        Calculate comparison measures between two sets
                        of clustering results
clustord                Likelihood-based clustering using Ordered
                        Stereotype Models (OSM), Proportional Odds
                        Models (POM) or Binary Models
mat2df                  Converting matrix of responses into a long-form
                        data frame and incorporating covariates, if
                        supplied.
osm                     Ordinal data regression using the Ordered
                        Stereotype Model (OSM).
rerun                   Rerun clustord using the results of a previous
                        run as the starting point.
