NEWS
cclustr 0.1.1 (2026-05-18)
New features
as_mild_list(): standardizes multiple imputation outputs into a
unified list of completed datasets.
cluster_imputations(): applies clustering algorithms across all
imputed datasets.
consensus_clustering(): builds a consensus partition via
co-assignment matrix.
validate_clustering(): computes internal and stability validation
metrics.
choose_best_clustering(): selects the optimal k via weighted rank
aggregation.
run_mi_clustering(): convenience wrapper for the full pipeline.
plot_consensus_matrix(): heatmap of the co-assignment matrix.
plot_consensus_dendrogram(): dendrogram of the consensus solution.
plot_validation_metrics(): multi-panel plot of validation metrics.