Package index • colSBM

User functions

estimate_colSBM(): Estimate a colSBM on a collection of networks

dist_bmpop_max(): Compute the dissimilarity between 2 mesoscale structures

adjust_colBiSBM(): Adjust a colBiSBM on a given point

clusterize_bipartite_networks(): Partition of a collection of bipartite networks based on their common mesoscale structures

clusterize_bipartite_networks_d_a(): Clusterize bipartite networks with descending and ascending steps

clusterize_bipartite_networks_graphon(): Clusterize bipartite networks in a bottom up fashion with graphon distance

clusterize_unipartite_networks(): Partition of a collection of unipartite networks based on their common mesoscale structures

dist_bisbmpop_max(): Compute the dissimilarity between 2 mesoscale structures for bipartite SBM

estimate_colBiSBM(): Estimate a colBiSBM on a collection of networks

generate_bipartite_collection(): Generate collection of bipartite networks

generate_unipartite_collection(): Generate collection of unipartite

extract_nodes_groups(): Extract nodes groups from a fitSimpleSBMPop, fitBipartiteSBMPop, bmpop or bisbmpop object

colSBM R6 class objects

bmpop: An R6 Class object, a collection of model for population of sbm netowrks

fitSimpleSBMPop: An R6 Class object, a fitted population of netowrks sbm once $optimize() is done

bisbmpop: An R6 Class object, a collection of model for population of BiSBM networks

fitBipartiteSBMPop: An R6 Class object, a fitted population of netowrks sbm once $optimize() is done

Generic methods

plot(<bisbmpop>): Plot the state-space exploration plot for a bipartite collection object

plot(<bmpop>): Plot the trace of the different criteria in function of the number of clusters

plot(<fitBipartiteSBMPop>): Plot matrix summaries of the collection mesoscale structure

plot(<fitSimpleSBMPop>): Plot matrix summaries of the collection mesoscale structure

Data

foodwebs: A collection of 8 food webs

dorebipartite: A collection of 15 plant-pollinator bipartite networks