grain-simulate: Simulate from an independence network

In DataSciBurgoon/gRain: Graphical Independence Networks

Description

Simulate data from an independence network.

Usage

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

Arguments

object	An independence network
nsim	Number of cases to simulate
seed	An optional integer controlling the random number generatation
...	Not used...

Value

A data frame

Author(s)

Søren Højsgaard, [e-mail]

References

Søren Højsgaard (2012). Graphical Independence Networks with the gRain Package for R. Journal of Statistical Software, 46(10), 1-26. http://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)

DataSciBurgoon/gRain documentation built on March 25, 2020, 12:02 a.m.