Interprets input DAG as a structural description of a logistic model in which each variable is binary and its log-odds ratio is a linear combination of its parent values.

1 2 3 4 5 6 7 8 9 | ```
simulateLogistic(
x,
b.default = NULL,
b.lower = -0.6,
b.upper = 0.6,
eps = 0,
N = 500,
verbose = FALSE
)
``` |

`x` |
the input graph, a DAG (which may contain bidirected edges). |

`b.default` |
default path coefficient applied to arrows for which no coefficient is defined in the model syntax. |

`b.lower` |
lower bound for random path coefficients, applied if |

`b.upper` |
upper bound for path coefficients. |

`eps` |
base log-odds ratio. |

`N` |
number of samples to generate. |

`verbose` |
logical. If true, prints the order in which the data are generated (which should be a topological order). |

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