simulateLogistic: Simulate Binary Data from DAG Structure

In dagitty: Graphical Analysis of Structural Causal Models

Description

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.

Usage

simulateLogistic(
  x,
  b.default = NULL,
  b.lower = -0.6,
  b.upper = 0.6,
  eps = 0,
  N = 500,
  verbose = FALSE
)

Arguments

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.default=NULL.
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).

dagitty documentation built on Jan. 21, 2021, 5:07 p.m.