simobs

A DAG objects that has been locked with set.DAG(DAG). Observed data from this DAG will be simulated.

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

wide

If forward imputation is desired for the missing variable values, this argument should be set to the name of the node that indicates the end of follow-up event. See the vignette, <code><a href="/link/sim?package=simcausal&version=0.2.0" rd-options="" data-mini-rdoc="simcausal::sim">sim</a></code> and <code></code>

LTCF

rndseed

This function simulates observed data from a DAG object.

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. See the
    package vignette for more information, documentation and examples.

simobs: Simulate Observed Data

Description

Usage

Arguments

Value

See Also