annotate toolboxes/FullBNT-1.0.7/graph/mk_rnd_dag_given_edge_prob.m @ 0:cc4b1211e677 tip

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646 (e263d8a21543) added further path and more save "camirversion.m"

function dag = sample_dag(P)
% SAMPLE_DAG Create a random directed acyclic graph with edge probabilities P(i,j)
% dag = sample_dag(P)
%
% This uses rejection sampling to reject graphs with directed cycles.

done = 0;
directed = 1;
iter = 1;
while ~done
  dag = binornd(1, P); % each edge is an indep Bernoulli (0/1) random variable
  dag = setdiag(dag, 0);
  done = acyclic(dag, directed);
  iter = iter + 1
end