cluster_tab             Split a dtm into two clusters with reinert
                        algorithm
compute_uc              Merges uces into uc according to minimum uc
                        size
cutree                  Cut a tree into groups
cutree_rainette         Cut a rainette result tree into groups of
                        documents
cutree_rainette2        Cut a rainette2 result object into groups of
                        documents
import_corpus_iramuteq
                        Import a corpus in Iramuteq format
order_docs              return documents indices ordered by CA first
                        axis coordinates
rainette                Corpus clustering based on the Reinert method -
                        Simple clustering
rainette2               Corpus clustering based on the Reinert method -
                        Double clustering
rainette2_complete_groups
                        Complete groups membership with knn
                        classification
rainette2_explor        Shiny gadget for rainette2 clustering
                        exploration
rainette2_plot          Generate a clustering description plot from a
                        rainette2 result
rainette_explor         Shiny gadget for rainette clustering
                        exploration
rainette_plot           Generate a clustering description plot from a
                        rainette result
rainette_stats          Generate cluster keyness statistics from a
                        rainette result
select_features         Remove features from dtm of each group base don
                        cc_test and tsj
split_segments          Split a character string or corpus into
                        segments
switch_docs             Switch documents between two groups to maximize
                        chi-square value
