Package index

Sampling

sample_edgelist()

Sample a random edgelist from a random dot product graph

sample_edgelist(<matrix>) sample_edgelist(<Matrix>)

Low level interface to sample RPDG edgelists

sample_igraph()

Sample a random dot product graph as an igraph graph

sample_sparse()

Sample a random dot product graph as a sparse Matrix

sample_tidygraph()

Sample a random dot product graph as a tidygraph graph

Graph properties conditional on latent representations

eigs_sym(<undirected_factor_model>)

Compute the eigendecomposition of the expected adjacency matrix of an undirected factor model

svds(<directed_factor_model>)

Compute the singular value decomposition of the expected adjacency matrix of a directed factor model

svds(<undirected_factor_model>)

Compute the singular value decomposition of the expected adjacency matrix of an undirected factor model

expected_edges() expected_degree() expected_in_degree() expected_out_degree() expected_density() expected_degrees()

Calculate the expected edges in Poisson RDPG graph

expectation()

Calculate the expected adjacency matrix

plot_expectation() plot_dense_matrix() plot_sparse_matrix()

Plot (expected) adjacency matrices

Undirected graphs

erdos_renyi()

Create an undirected erdos renyi object

chung_lu()

Create an undirected Chung-Lu object

planted_partition()

Create an undirected planted partition object

sbm()

Create an undirected stochastic blockmodel object

dcsbm()

Create an undirected degree corrected stochastic blockmodel object

overlapping_sbm()

Create an undirected overlapping degree corrected stochastic blockmodel object

undirected_factor_model()

Create an undirected factor model graph

mmsbm()

Create an undirected degree-corrected mixed membership stochastic blockmodel object

Directed graphs

directed_erdos_renyi()

Create an directed erdos renyi object

directed_dcsbm()

Create a directed degree corrected stochastic blockmodel object

directed_factor_model()

Create a directed factor model graph