generate_random_network_exp | R Documentation |
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.
generate_random_network_exp( n_vars, size, min_mu, max_mu, min_sd, max_sd, min_coef, max_coef, seed = NULL )
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 |
a list with the original network structure and the sampled dataset
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