cclustr 0.1.1
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.