gRain (version 1.4.5)

grain-simulate: Simulate from Bayesian network

Description

Simulate data from an independence network.

Usage

# S3 method for grain
simulate(object, nsim = 1, seed = NULL, ...)

Value

A data frame

Arguments

object

An independence network.

nsim

Number of cases to simulate.

seed

An optional integer controlling the random number generation.

...

Not used.

Author

Søren Højsgaard,

References

Søren Højsgaard (2012). Graphical Independence Networks with the gRain Package for R. Journal of Statistical Software, 46(10), 1-26. https://www.jstatsoft.org/v46/i10/.

Examples

tf <- system.file("huginex", "chest_clinic.net", package = "gRain")

chest <- loadHuginNet(tf, details=1)
simulate(chest,n=10) 

chest2 <- setFinding(chest, c("VisitToAsia", "Dyspnoea"),
                            c("yes", "yes"))
simulate(chest2, n=10)