Statistical Network Analysis of Animal Social Networks
aniSNA
To obtain two non-overlapping bootstrapped versions and obtain p-value...
To perform correlation analysis for node-level network metrics
Calculate distance between two pairs of radian coordinates
To convert latitude and longitude values from degrees to radians
To obtain interactions from raw GPS observations
Calculates and prints network summary statistics
To obtain spatial threshold for calculating interactions from raw GPS ...
To obtain confidence intervals around the observed global network stat...
To obtain width of confidence intervals for global network metrics usi...
Function to obtain pairs of interacting animals
Function to obtain a network structure from interactions dataframe
To obtain confidence intervals for node-level network metrics
To obtain bootstrapped versions of a network's adjacency matrix
To obtain sub-networks of the observed network
Function to obtain permuted networks from raw datastream
To plot the results obtained from bootstrapped_difference_pvalues func...
To plot correlation analysis results
To plot the results for node-level confidence intervals
Function to plot the network metrics distribution of permuted networks
To plot regression analysis results
To plot sub-sampling results
To plot sub-sampling results of the original network and permuted netw...
To plot the results obtained from width_CI function
Visualize Animal Network
To perform regression analysis for local network metrics
To generate subsamples and obtain network metrics of the subsamples
To generate subsamples of the permuted networks and obtain network met...
Obtain network structures from animal GPS telemetry observations and statistically analyse them to assess their adequacy for social network analysis. Methods include pre-network data permutations, bootstrapping techniques to obtain confidence intervals for global and node-level network metrics, and correlation and regression analysis of the local network metrics.