R: Cluster Ordinal Data via Proportional Odds or Ordered Stereotype

# Cluster Ordinal Data via Proportional Odds or Ordered Stereotype

## Documentation for package ‘clustord’ version 2.0.1

- 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
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.