Plot (expected) adjacency matrices
Arguments
- model
A
directed_factor_model()or anundirected_factor_model()object.- A
A
matrix(),Matrix::Matrix()orMatrix::sparseMatrix()object.- ...
Unused.
Value
A ggplot2::ggplot2() plot.
Examples
set.seed(27)
model <- dcsbm(n = 10, k = 2, expected_density = 0.2)
#> Generating random degree heterogeneity parameters `theta` from a LogNormal(2, 1) distribution. This distribution may change in the future. Explicitly set `theta` for reproducible results.
#> Generating random mixing matrix `B` with independent Uniform(0, 1) entries. This distribution may change in the future. Explicitly set `B` for reproducible results.
plot_expectation(model)
A <- sample_sparse(model)
plot_sparse_matrix(A)