aniSNA                  aniSNA
bootstrapped_difference_pvalues
                        To obtain two non-overlapping bootstrapped
                        versions and obtain p-values for the
                        significance of difference between them
correlation_analyze     To perform correlation analysis for node-level
                        network metrics
distance_radian_coordinates
                        Calculate distance between two pairs of radian
                        coordinates
elk_2010_permutations   A list of 100 igraph objects obtained by
                        permuting the raw elk_data_2010 and obtaining
                        network from those
elk_all_interactions_2010
                        Dataset of all possible interactions from
                        elk_data_2010
elk_data_2010           Data to showcase functions in our package
elk_interactions_2010   Dataset of interactions from elk_data_2010
                        using first mode as the spatial threshold
elk_network_2010        An igraph object depicting the network obtained
                        from elk_interactions_2010
get_coordinates_in_radian
                        To obtain latitude and longitude values in
                        radian
get_interactions        To obtain interactions from raw GPS
                        observations
get_network_summary     Calculates and prints network summary
                        statistics
get_spatial_threshold   To obtain spatial threshold for calculating
                        interactions from raw GPS observations. The
                        threshold is obtained as the distance interval
                        that captures maximum number of
                        inter-individual interactions.
global_width_CI         To obtain width of 95% confidence intervals for
                        global network metrics using bootstrapped
                        versions at each level of sub-sampling
interacting_pairs       Function to obtain pairs of interacting animals
network_from_interactions
                        Function to obtain a network structure from
                        interactions dataframe
obtain_bootstrapped_samples
                        To obtain bootstrapped versions of a network's
                        adjacency matrix
obtain_global_confidence_intervals
                        To obtain 95% confidence intervals around the
                        observed global network statistics
obtain_network_subsamples
                        To obtain sub-networks of the observed network
obtain_node_level_CI    To obtain confidence intervals for node-level
                        network metrics
obtain_permuted_network_versions
                        Function to obtain permuted networks from raw
                        datastream
plot.Subsampled_Network_Metrics
                        To plot sub-sampling results
plot.Subsampled_Permuted_Network_Metrics
                        To plot sub-sampling results of the original
                        network and permuted networks
plot.Width_CI_matrix    To plot the results obtained from width_CI
                        function
plot.bootstrapped_pvalue_matrix
                        To plot the results obtained from
                        bootstrapped_difference_pvalues function
plot.list_correlation_matrices
                        To plot correlation analysis results
plot.list_node_level_CI
                        To plot the results for node-level confidence
                        intervals
plot.list_permuted_networks
                        Function to plot the network metrics
                        distribution of permuted networks
plot.list_regression_matrices
                        To plot regression analysis results
plot_network            Visualize Animal Network
regression_slope_analyze
                        To perform regression analysis for local
                        network metrics
subsampled_network_metrics
                        To generate subsamples and obtain network
                        metrics of the subsamples
subsamples_permuted_networks
                        To generate subsamples of the permuted networks
                        and obtain network metrics of those subsamples
