rbern

Wrapper for Bernoulli node distribution.

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.

Fred Gruber

simcausal

Simulating Longitudinal Data with Causal Inference Applications

Oleg Sofrygin

Romain Neugebauer

rbern function

<dl><dt>n</dt>
<dd>Sample size.</dd>
<dt>prob</dt>
<dd>A vector of success probabilities.</dd></dl>

Arguments

Random Sample from Bernoulli Distribution — rbern

<dl>

<dt>n</dt>
<dd>Sample size.</dd>


<dt>prob</dt>
<dd>A vector of success probabilities.</dd>

</dl>

rbern: Random Sample from Bernoulli Distribution

Description

Usage

Value

Arguments

Examples