check.timescale | Quantify how changing window size alters the resulting time... |
check.windowsize | Bootstrap convergence check with subsampling |
check.windowsize.plot | Plot function for windowsize check outputs |
convergence.check.boot | Bootstrap convergence check |
convergence.check.boot.graph | Bootstrap convergence check for network level measures |
convergence.check.value | Convergence check |
convergence.check.var | Variance by window size check |
cor_between_graphs | Estimate similarity between graphs using correlation |
cosine_between_graphs | Estimate consine similarity between graphs |
cosine_between_nodes | Estimate consine similarity between nodes in a graph |
create.an.edgeList | Create an edge list |
create.a.network | Create a network |
create.a.network.SRI | Create a network from an edge list using the SRI. |
create.window | Create a window |
degree_mean | Mean degree of a network |
df.scans | Data on observational scans of a vervet monkey group |
dist_between_graphs | Estimate similarity between graphs using Euclidean distance |
dyad_change | dyad_change function |
dyad_diff | dyad_diff function |
dyad_mean | dyad_mean function |
dyadTS | dyadTS function |
dyadTS.plot | Plot function for dyadTS outputs |
dyad_weight | dyad_weight function |
edge.weight.skewness | Estimate skewness of the edge weight distribution for each... |
effort.focal | Focal sampling |
effort.scan | Unique scan IDs |
effort.time | Min/Max time per day |
eigen_mean | Mean eigenvector centrality of a network |
extract_lagged_measure_dyads | Extract dyad level measures from a list of networks when the... |
extract_lagged_measure_network | Extract measures from a list of networks when the measure... |
extract_lagged_measure_nodes | Extract node level measures from a list of networks when the... |
extract_measure_dyads | Extract dyad level network measures from a list of networks |
extract_measure_network | Extract network measures from a list of networks |
extract_measure_nodes | Extract node level network measures from a list of networks |
extract_networks | Extract networks from a moving window |
extract_networks_para | Extract networks from a moving window using multiple cores |
graphTS | graphTS function |
graphTS.plot | Plot function for graphTS outputs |
groomEvents | Data on grooming events in a vervet group |
net.para | Extract networks in parallel using a dataframe of times |
net.window.para | Extract one network within time constriants |
node_first_last | First and last observation time of each node |
nodeTS | nodeTS function |
nodeTS.plot | Plot function for nodeTS outputs |
order_events | Order events alphabetically |
perm.edge.degseq | Perform edge permutations maintaining the degree distribution... |
perm.edge.weights | Perform edge weight permutations |
perm.events | Perform permutation on the events dataframe |
perm.events.directed | Perform permutation on the events dataframe, maintaining... |
permutation.graph.values | Use permutation to extract uncertainty |
sim.events.data | Simulate some observation data |
trim_dyads | Trim dyads. |
trim_nodes | Trim nodes. |
weighted_mean | Calculate the weighted average correcting for nodes enter or... |
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