Consensus Clustering Methods for Multiple Imputed Data

Documentation for package ‘cclustr’ version 0.1.1

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