bn2dn: simulates data from a bn
In rebastaba: Handling Bayesian networks

Description Usage Arguments Details Value Examples

(dn) This function creates a /dn/ object simulating bn simu times.

1	bn2dn(bn, simu=100, score=TRUE)

`bn`	the bn object with which to simulate
`simu`	Either (1) a `numeric` indicating the desired number of simulations, or (2) a data.frame whose the number of rows indicates the desired number of simulations, and where columns can comprises already computed nodes. More details are given in the documentation of `simulate8bn`.
`score`	When TRUE, an additional variable scoring the likelihood of each individual according to the variable domains is added. See the function `dn2score` for more details.

In a first version, the function was performing a genuine simulation from the distributions associated to each node of the bn. Then, it was found convenient to allow 'already known nodes' using simu as a matrix.

The resulting dn object

 rebastaba3k("RESET"); # For R convenience when checking
 print(bn2dn(rebastaba.bn1, 10), quoi="i", simu=100);
 print(bn2dn(rebastaba.bn2, 10), quoi="i", simu=100);
 print(bn2dn(rebastaba.bn3, 10), quoi="i", simu=100);
 print(bn2dn(rebastaba.bn4, 10), quoi="i", simu=100);
 print(bn2dn(rebastaba.bn5, 10), quoi="i", simu=100);
 print(bn2dn(rebastaba.bn6, 10), quoi="i", simu=100);