jti (version 1.0.0)

sim_data_from_bn: 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)