Blockmodels should graciously handle k = 1

[alexpghayes]

library(fastRG)
#> Loading required package: Matrix
dcsbm(n = 500, k = 1, expected_density = 0.8)
#> 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.
#> Error in B[, order(pi)]: incorrect number of dimensions

^{Created on 2021-09-23 by the reprex package (v2.0.1.9000)}