| 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 convert latitude and longitude values from degrees to radians |
| 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_CI | To obtain confidence intervals around the observed global network statistics |
| global_width_CI | To obtain width of 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 |
| node_level_CI | To obtain confidence intervals for node-level network metrics |
| obtain_bootstrapped_samples | To obtain bootstrapped versions of a network's adjacency matrix |
| obtain_network_subsamples | To obtain sub-networks of the observed network |
| obtain_permuted_network_versions | Function to obtain permuted networks from raw datastream |
| 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.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_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 |
| subsampled_permuted_network_metrics | To generate subsamples of the permuted networks and obtain network metrics of those subsamples |