Package: aniSNA 1.1.1

aniSNA: Statistical Network Analysis of Animal Social Networks

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.

Authors:Prabhleen Kaur [aut, cre], Michael Salter-Townshend [ctb]

aniSNA_1.1.1.tar.gz
aniSNA_1.1.1.zip(r-4.5)aniSNA_1.1.1.zip(r-4.4)aniSNA_1.1.1.zip(r-4.3)
aniSNA_1.1.1.tgz(r-4.4-x86_64)aniSNA_1.1.1.tgz(r-4.4-arm64)aniSNA_1.1.1.tgz(r-4.3-x86_64)aniSNA_1.1.1.tgz(r-4.3-arm64)
aniSNA_1.1.1.tar.gz(r-4.5-noble)aniSNA_1.1.1.tar.gz(r-4.4-noble)
aniSNA_1.1.1.tgz(r-4.4-emscripten)aniSNA_1.1.1.tgz(r-4.3-emscripten)
aniSNA.pdf |aniSNA.html✨
aniSNA/json (API)
NEWS

# Install 'aniSNA' in R:

install.packages('aniSNA', repos = c('https://prabhleenkaur19.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/prabhleenkaur19/anisna/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

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

On CRAN:

3.54 score 311 downloads 19 exports 41 dependencies

Last updated 8 months agofrom:fb4a7d996a. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 21 2024
R-4.5-win-x86_64	OK	Nov 21 2024
R-4.5-linux-x86_64	OK	Nov 21 2024
R-4.4-win-x86_64	OK	Nov 21 2024
R-4.4-mac-x86_64	OK	Nov 21 2024
R-4.4-mac-aarch64	OK	Nov 21 2024
R-4.3-win-x86_64	OK	Nov 21 2024
R-4.3-mac-x86_64	OK	Nov 21 2024
R-4.3-mac-aarch64	OK	Nov 21 2024

Exports:bootstrapped_difference_pvalues correlation_analyze distance_radian_coordinates get_coordinates_in_radian get_interactions get_network_summary get_spatial_threshold global_CI global_width_CI interacting_pairs network_from_interactions node_level_CI obtain_bootstrapped_samples obtain_network_subsamples obtain_permuted_network_versions plot_network regression_slope_analyze subsampled_network_metrics subsampled_permuted_network_metrics

Dependencies:cli colorspace cpp11 dplyr fansi farver generics ggplot2 glue gtable igraph isoband labeling lattice lifecycle lubridate magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig plotrix plyr R6 RColorBrewer Rcpp reshape rlang scales stringi stringr tibble tidyselect timechange utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

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