PCBN (version 0.1.1)

PCBN_sim: Simulate data from a specified PCBN

Description

Simulate data from a specified PCBN

Usage

PCBN_sim(object, N, check_PCBN = TRUE, verbose = 1)

Value

a data frame of N samples

Arguments

object

PCBN object to simulate from. This does not work if the PCBN does not abide by the B-sets. And in general, it does not work if the PCBN is outside of the class of restricted PCBNs.

N

sample size

check_PCBN

check whether the given PCBN satisfies the restrictions. If this is set to FALSE, no checking is performed. This means that the error due to the a non-restricted PCBN object (if this is the case) will occur later in the computations (and may not be so clear - typically it is because of failing to find a given conditional copula). Nevertheless, even with `check_PCBN = TRUE` if could be that some error happen later if the parental orderings are not compatible with each other.

verbose

if 0, don't print anything. If verbose >= 1, print information about the simulation procedure.

Examples

DAG = create_empty_DAG(3)
DAG = bnlearn::set.arc(DAG, 'U1', 'U3')
DAG = bnlearn::set.arc(DAG, 'U2', 'U3')

order_hash = r2r::hashmap()
order_hash[['U3']] = c("U1", "U2")

fam = matrix(c(0, 0, 1,
               0, 0, 1,
               0, 0, 0), byrow = TRUE, ncol = 3)

tau = 0.2 * fam

my_PCBN = new_PCBN(
  DAG, order_hash,
  copula_mat = list(tau = tau, fam = fam))

mydata = PCBN_sim(my_PCBN, N = 5)