Package index
Clustering
Functions for performing clustering and calculating standard errors of parameter estimates
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clustord() - Likelihood-based clustering using Ordered Stereotype Models (OSM), Proportional Odds Models (POM) or Binary Models
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rerun() - Rerun clustord using the results of a previous run as the starting point.
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calc.SE.rowcluster()calc.SE.bicluster() - Calculate standard errors of clustering parameters.
Regression
Functions for performing regression on ordinal response data using the ordered stereotype model
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osm() - Ordinal data regression using the Ordered Stereotype Model (OSM).
Utility functions
Functions for setting up the long-form data frame for clustering and calculating measures to compare sets of clustering results
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mat2df() - Converting matrix of responses into a long-form data frame and incorporating covariates, if supplied.
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calc.cluster.comparisons() - Calculate comparison measures between two sets of clustering results
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clustord-package - clustord: Clustering Using Proportional Odds Model, Ordered Stereotype Model or Binary Model.