A DAG objects that has been locked with set.DAG(DAG). Observed data from this DAG will be simulated if actions argument is omitted.

Character vector of action names which will be extracted from the DAG object. Alternatively, this can be a list of action DAGs selected with <code>A(DAG)</code> function, in which case the argument <code>DAG</code> is unused. When this argument is missing

actions

A logical, if TRUE the output data is generated in wide format, if FALSE, the output longitudinal data in generated in long format

wide

The name of the right-censoring / failure event indicator variable for the Last Time-point Carried Forward imputation. By default, when LTCF is left unspecified, all variables that follow after any end of follow-up (EFU) event are set to missing (NA). The

LTCF

rndseed

This function simulates full data based on a list of intervention DAGs, returning a list of <code>data.frames</code>

A flexible tool for simulating complex longitudinal data using
    structural equations, with emphasis on problems in causal inference.
    Specify interventions and simulate from intervened data generating
    distributions. Define and evaluate treatment-specific means, the average
    treatment effects and coefficients from working marginal structural models.
    User interface designed to facilitate the conduct of transparent and
    reproducible simulation studies, and allows concise expression of complex
    functional dependencies for a large number of time-varying nodes.

sim: Simulate from DAG or list of DAGs (Either Action or Observed DAG(s))

Description

Usage

Arguments

Value