| calc.cluster.comparisons | Calculate comparison measures between two sets of clustering results |
| calc.SE.bicluster | Calculate standard errors of clustering parameters. |
| calc.SE.rowcluster | Calculate standard errors of clustering parameters. |
| 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. |