simulate_data: Simulate Data from Structural Equation Model

In malcolmbarrett/ggdag: Analyze and Create Elegant Directed Acyclic Graphs

Simulate Data from Structural Equation Model

Description

This is a thin wrapper for the simulateSEM()function in dagitty that works with tidied dagitty objects. It treats the input DAG as a structural equation model, generating random path coefficients and simulating corresponding data. See dagitty::simulateSEM() for details.

Usage

simulate_data(
  .tdy_dag,
  b.default = NULL,
  b.lower = -0.6,
  b.upper = 0.6,
  eps = 1,
  N = 500,
  standardized = TRUE
)

Arguments

.tdy_dag	the input DAG, which can be a tidy_dagitty or dagitty object.
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	residual variance (only meaningful if standardized=FALSE).
N	number of samples to generate.
standardized	whether a standardized output is desired (all variables have variance 1).

Value

a tblwith N values for each variable in .tdy_dag

Examples

dagify(y ~ z, x ~ z) %>%
  tidy_dagitty() %>%
  simulate_data()

malcolmbarrett/ggdag documentation built on March 8, 2024, 5:49 p.m.