generate_random_network_exp {dbnR}

Generate a random DBN and a sampled dataset

Description

This function generates both a random DBN and a dataset that can be used to learn its structure from data. It's intended for experimental use.

Usage

generate_random_network_exp(
  n_vars,
  size,
  min_mu,
  max_mu,
  min_sd,
  max_sd,
  min_coef,
  max_coef,
  seed = NULL
)

Arguments

n_vars

number of desired variables per time-slice

size

desired size of the networks

min_mu

minimum mean allowed for the variables

max_mu

maximum mean allowed for the variables

min_sd

minimum standard deviation allowed for the variables

max_sd

maximum standard deviation allowed for the variables

min_coef

minimum coefficient allowed for the parent nodes

max_coef

maximum coefficient allowed for the parent nodes

seed

the seed of the experiment

Value

a list with the original network structure and the sampled dataset