# Cluster Ordinal Data via Proportional Odds or Ordered Stereotype

## Documentation for package ‘clustord’ version 1.3.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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.