R: Sample Generalized Random Dot Product Graphs in Linear Time

# Sample Generalized Random Dot Product Graphs in Linear Time

## Documentation for package ‘fastRG’ version 0.4.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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