agg_seq                 Aggregate Similarity Sequence
calc_sim_cor            Calculate correlation between similarity
                        measures
calc_sim_seq            Calculate similarity sequence
calc_sum_stats          Calculate summary statistics for similarities
combine_sim_seq         Combine Similarity Measures
combine_sims            Utility and visualization functions for speech
                        similarity analysis
compare_sim_meas        Compare multiple similarity measures
compare_style           Compare stylistic features
cor_sim_seq             Calculate Correlation Between Similarity
                        Measures for a Single Dyad
create_windows          Create windows from a conversation
gen_sim_report          Generate similarity report
heatmap_sim             Create Similarity Heatmap
lex_sim_seq             Calculate lexical similarity sequence for a
                        single dyad
lexical_sim_dyads       Calculate lexical similarity for multiple dyads
lexical_similarity      Calculate lexical similarity between two
                        conversations
norm_sim                Normalize Similarity Scores
participant_sim_dyads   Calculate participant similarity for multiple
                        dyads
plot_cor_heatmap        Plot Correlation Heatmap for a Single Dyad
plot_sim_comp           Plot comparison of multiple similarity measures
plot_sim_cor_heatmap    Plot heatmap of similarity measure correlations
plot_sim_multi          Plot Multiple Similarity Measures
plot_sim_seq            Plot Similarity Sequence
plot_sim_time           Plot similarity over time for multiple dyads
plot_sims               Visualize similarity scores
plot_sum_stats          Plot summary statistics for similarities
preprocess_dyads        Preprocess multiple dyad conversations
preprocess_text         This file contains core similarity calculation
                        functions such as topic similarity, lexical
                        similarity, semantic similarity, structural
                        similarity, stylistic similarity, sentiment
                        similarity, participant similarity, and timing
                        similarity.
print_sim_report        Print similarity report
radar_sim               Create Radar Chart of Average Similarities
run_example             Run package examples
sem_sim_seq             Calculate semantic similarity sequence for a
                        single dyad
semantic_sim_dyads      Calculate semantic similarity for multiple
                        dyads
semantic_similarity     Calculate semantic similarity between two
                        conversations
sent_sim_seq            Calculate sentiment similarity sequence for a
                        single dyad
sentiment_sim_dyads     Calculate sentiment similarity for multiple
                        dyads
sentiment_similarity    Calculate sentiment similarity between two
                        conversations
structural_sim_dyads    Calculate structural similarity for multiple
                        dyads
structural_similarity   Calculate structural similarity between two
                        conversations
style_sim_seq           Calculate stylistic similarity sequence for a
                        single dyad
stylistic_sim_dyads     Calculate stylistic similarity for multiple
                        dyads
stylistic_similarity    Calculate stylistic similarity between two
                        conversations
timing_sim_dyads        Calculate timing similarity for multiple dyads
topic_sim_dyads         Calculate topic similarity for multiple dyads
topic_sim_seq           Calculate topic similarity sequence for a
                        single dyad
topic_similarity        Calculate topic similarity between two
                        conversations
