Cluster Ordinal Data via Proportional Odds or Ordered Stereotype

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Documentation for package ‘clustord’ version 2.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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
mat_to_df	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).
reorder.clustord	Reorder row or column clusters in order of increasing (or decreasing) cluster effects.
rerun	Rerun clustord using the results of a previous run as the starting point.