sim_data_from_bn: Simulate data from a Bayesian network

In jti: Junction Tree Inference

Simulate data from a Bayesian network

Description

Simulate data from a Bayesian network

Usage

sim_data_from_bn(
  net,
  lvls,
  nsims = 1000,
  increasing_prob = FALSE,
  p1 = 0.8,
  p2 = 1
)

Arguments

net	A Bayesian network as an igraph object
lvls	Named integer vector where each element is the size of the statespace of the corresponding variable
nsims	Number of simulations distributions from which the simulatios are drawn.
increasing_prob	Logical. If true, probabilities in the underlying CPTs increases with as the number of levels increses.
p1	Probability
p2	Probability

Examples

net <- igraph::graph(as.character(c(1,2,1,3,3,4,3,5,5,4,2,6,6,7,5,7)), directed = TRUE)
nodes_net <- igraph::V(net)$name
lvls_net  <- structure(sample(3:9, length(nodes_net)), names = nodes_net)
lvls_net  <- structure(rep(3, length(nodes_net)), names = nodes_net)
sim_data_from_bn(net, lvls_net, 10)

jti documentation built on April 12, 2022, 9:05 a.m.