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. |