Sample Generalized Random Dot Product Graphs in Linear Time
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Documentation for package ‘fastRG’ version 0.3.2
Help Pages
| chung_lu | Create an undirected Chung-Lu object |
| dcsbm | Create an undirected degree corrected stochastic blockmodel object |
| directed_dcsbm | Create a directed degree corrected stochastic blockmodel object |
| directed_erdos_renyi | Create an directed erdos renyi object |
| directed_factor_model | Create a directed factor model graph |
| eigs_sym.undirected_factor_model | Compute the eigendecomposition of the expected adjacency matrix of an undirected factor model |
| erdos_renyi | Create an undirected erdos renyi object |
| expectation | Calculate the expected adjacency matrix |
| expectation.directed_factor_model | Calculate the expected adjacency matrix |
| expectation.undirected_factor_model | Calculate the expected adjacency matrix |
| expected_degree | Calculate the expected edges in Poisson RDPG graph |
| expected_degrees | Calculate the expected edges in Poisson RDPG graph |
| expected_density | Calculate the expected edges in Poisson RDPG graph |
| expected_edges | Calculate the expected edges in Poisson RDPG graph |
| expected_in_degree | Calculate the expected edges in Poisson RDPG graph |
| expected_out_degree | Calculate the expected edges in Poisson RDPG graph |
| mmsbm | Create an undirected degree-corrected mixed membership stochastic blockmodel object |
| overlapping_sbm | Create an undirected overlapping degree corrected stochastic blockmodel object |
| planted_partition | Create an undirected planted partition object |
| plot_dense_matrix | Plot (expected) adjacency matrices |
| plot_expectation | Plot (expected) adjacency matrices |
| plot_sparse_matrix | Plot (expected) adjacency matrices |
| sample_edgelist | Sample a random edgelist from a random dot product graph |
| sample_edgelist.directed_factor_model | Sample a random edgelist from a random dot product graph |
| sample_edgelist.Matrix | Low level interface to sample RPDG edgelists |
| sample_edgelist.matrix | Low level interface to sample RPDG edgelists |
| sample_edgelist.undirected_factor_model | Sample a random edgelist from a random dot product graph |
| sample_igraph | Sample a random dot product graph as an igraph graph |
| sample_igraph.directed_factor_model | Sample a random dot product graph as an igraph graph |
| sample_igraph.undirected_factor_model | Sample a random dot product graph as an igraph graph |
| sample_sparse | Sample a random dot product graph as a sparse Matrix |
| sample_sparse.directed_factor_model | Sample a random dot product graph as a sparse Matrix |
| sample_sparse.undirected_factor_model | Sample a random dot product graph as a sparse Matrix |
| sample_tidygraph | Sample a random dot product graph as a tidygraph graph |
| sample_tidygraph.directed_factor_model | Sample a random dot product graph as a tidygraph graph |
| sample_tidygraph.undirected_factor_model | Sample a random dot product graph as a tidygraph graph |
| sbm | Create an undirected stochastic blockmodel object |
| 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 |
| undirected_factor_model | Create an undirected factor model graph |