R: Consensus Clustering Methods for Multiple Imputed Data

# Consensus Clustering Methods for Multiple Imputed Data

## Documentation for package ‘cclustr’ version 0.1.1

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

## Help Pages

as_mild_list | Standardize multiple imputation outputs into a unified list
choose_best_clustering | Select the optimal number of clusters from a validation table
cluster_imputations | Perform clustering on multiple imputed datasets
consensus_clustering | Build a consensus partition from multiple imputation clustering results
plot_consensus_dendrogram | Plot a consensus clustering dendrogram
plot_consensus_matrix | Plot the consensus co-assignment matrix
plot_validation_metrics | Plot validation metrics across candidate numbers of clusters
run_mi_clustering | Run the full multiple-imputation clustering pipeline
validate_clustering | Validate consensus clustering results across multiple imputed datasets