sim_network_bp.md
In simulist: Simulate Disease Outbreak Line List and Contacts Data

.sim_network_bp works as expected

Code
  .sim_network_bp(contact_distribution = contact_distribution, infectious_period = infectious_period,
    prob_infection = 0.5, max_outbreak_size = 10000, config = create_config())
Output
     id ancestor generation infected     time
  1   1       NA          1 infected 0.000000
  2   2        1          2  contact 1.691130
  3   3        1          2 infected 1.778258
  4   4        3          3 infected 1.823650
  5   5        3          3  contact 1.807604
  6   6        3          3  contact 1.820571
  7   7        4          4  contact 1.883762
  8   8        4          4 infected 1.960367
  9   9        4          4 infected 1.877154
  10 10        4          4  contact 1.899434
  11 11        4          4 infected 1.917903
  12 12        4          4  contact 1.901236
  13 13        8          5 infected 2.787989
  14 14        8          5  contact 2.612689
  15 15       11          5 infected 2.505053
  16 16       11          5 infected 2.818889
  17 17       11          5 infected 2.770190
  18 18       13          6  contact 3.967263
  19 19       15          6  contact 2.517370
  20 20       15          6  contact 2.633031
  21 21       15          6  contact 2.554628
  22 22       15          6 infected 2.627785
  23 23       16          6  contact 3.028413
  24 24       17          6  contact 4.562579
  25 25       17          6 infected 3.776408
  26 26       22          7  contact 2.866176

.sim_network_bp works as expected with no contacts

Code
  .sim_network_bp(contact_distribution = contact_distribution, infectious_period = infectious_period,
    prob_infection = 0.5, max_outbreak_size = 10000, config = create_config())
Output
    id ancestor generation infected time
  1  1       NA          1 infected    0

.sim_network_bp works as expected with unadjusted network

Code
  .sim_network_bp(contact_distribution = contact_distribution, infectious_period = infectious_period,
    prob_infection = 0.5, max_outbreak_size = 10000, config = create_config(
      network = "unadjusted"))
Output
     id ancestor generation infected     time
  1   1       NA          1 infected 0.000000
  2   2        1          2  contact 1.691130
  3   3        1          2 infected 1.778258
  4   4        3          3 infected 1.823650
  5   5        3          3  contact 1.807604
  6   6        3          3  contact 1.820571
  7   7        4          4  contact 1.883762
  8   8        4          4 infected 1.960367
  9   9        4          4 infected 1.877154
  10 10        4          4  contact 1.899434
  11 11        4          4 infected 1.917903
  12 12        4          4  contact 1.901236
  13 13        8          5 infected 2.787989
  14 14        8          5  contact 2.612689
  15 15       11          5 infected 2.505053
  16 16       11          5 infected 2.818889
  17 17       11          5 infected 2.770190
  18 18       13          6  contact 3.967263
  19 19       15          6  contact 2.517370
  20 20       15          6  contact 2.633031
  21 21       15          6  contact 2.554628
  22 22       15          6 infected 2.627785
  23 23       16          6  contact 3.028413
  24 24       17          6  contact 4.562579
  25 25       17          6 infected 3.776408
  26 26       22          7  contact 2.866176