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All functions

count_events() effective_rate() count_gl() rate_gl()
Calculate the rate of host-repertoire evolution
evolnets-package evolnets
evolnets: a package for summarizing inference of network evolution
get_sampled_networks()
Get posterior samples of networks of interactions of extant lineages at given time points in the past
get_summary_networks()
Get summary networks from posterior probabilities of interactions of extant lineages at given time points in the past
index_at_ages_samples()
Posterior distribution of network structure indices across ancestral networks
index_at_ages_summary()
Network structure indices across ancestral summary networks and extant network
match_modules()
Match modules of different ancestral networks across time.
modules_across_ages()
Evolution of modules: find and match modules across time slices
modules_from_samples()
Find modules in networks sampled across MCMC at specific time slices
modules_from_summary_networks()
Identify modules for each summary network at each age
mycomputeModules()
Modified version of bipartite's computeModules function
pairwise_membership()
Calculate frequency that pairs of nodes fall within the same module
plot_ancestral_networks()
Plot ancestral networks with module information
plot_ancestral_states()
Plot ancestral states on the phylogeny.
plot_extant_matrix()
Plot a network with modules as an adjacency matrix
plot_index_at_ages()
Plot network structure indices across ancestral summary, sampled and extant networks
plot_matrix_phylo()
Plot a network with modules as an adjacency matrix, with aligned phylogenies.
plot_network_at_age()
Plot one ancestral network with module information at a given time
posterior_at_ages()
Calculate the posterior probability of ancestral host repertoires at time points in the past (ages)
posterior_at_nodes()
Calculate the posterior probability of ancestral host repertoires
read_history()
Read history.txt file produced by RevBayes
read_tree_from_revbayes()
Read symbiont tree file produced by RevBayes containing node indices
support_for_modules()
Calculate support for modules from summary networks based on modules of sampled networks