Simulate Binary Data from DAG Structure
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.
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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