Cluster Ordinal Data via Proportional Odds or Ordered Stereotype


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Documentation for package ‘clustord’ version 1.3.4

Help Pages

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.