setup_planted_pattern_model: Setup a planted pattern model
In tbilab/BiSBMSim: Simulate Data From Bipartite Stochastic Block Model

Description Usage Arguments Value Examples

View source: R/setup_planted_pattern_model.R

Supplied with a dataframe of planted patterns of b-nodes, will return all the neccesary components to draw from SBM model with set planted structure using draw_from_model().

1 2	setup_planted_pattern_model(planted_patterns, num_noise_nodes = 10, noise_p = 0.2, planted_p_on = 0.95, planted_p_off = 0.05)

`planted_patterns`	Tibble containing planted patterns for node a groups by activating b nodes with `1` or `0` in columns prefixed with pattern `b1`, `b2`, .... Additionally a column `size` is used to control how many a nodes have the planted pattern.
`num_noise_nodes`	How many additional b nodes with no pattern are added to model?
`noise_p`	The individual lambda for connections between the noise b-nodes and any a-node.
`planted_p_on`	The lambda for a planted pattern b-node that has been turned on in a pattern.
`planted_p_off`	The lambda for a planted pattern b-node that has been turned off in pattern.

List with group membership vectors for both node types (b_a, b_b), and the Lambda matrix for edge behavior (Lambda).

my_patterns <- dplyr::tribble(
  ~b1,  ~b2,  ~b3,  ~b4,  ~size,
    1,    1,    0,    0,     10,
    1,    1,    1,    0,     15,
    0,    0,    0,    1,     13,
    0,    0,    1,    1,     24
)
setup_planted_pattern_model(my_patterns, num_noise_nodes = 15)