rbern: Random Sample from Bernoulli Distribution

In simcausal: Simulating Longitudinal Data with Causal Inference Applications

Random Sample from Bernoulli Distribution

Description

Wrapper for Bernoulli node distribution.

Usage

rbern(n, prob)

Arguments

n	Sample size.
prob	A vector of success probabilities.

Value

Binary vector of length n.

Examples

#---------------------------------------------------------------------------------------
# Specifying and simulating from a DAG with 3 Bernoulli nodes
#---------------------------------------------------------------------------------------
D <- DAG.empty()
D <- D + node("W1", distr="rbern", prob=0.05)
D <- D + node("W2", distr="rbern", prob=ifelse(W1==1,0.5,0.1))
D <- D + node("W3", distr="rbern", prob=ifelse(W1==1,0.5,0.1))
Dset <- set.DAG(D)
simdat <- sim(Dset, n=200, rndseed=1)

simcausal documentation built on Oct. 19, 2024, 5:08 p.m.