# sample input file for graph_sampler
# =========================================================================

n_runs = 2e6;
n_burn_in = 1e6;

n_nodes = 3;
random_seed = 49740;

random_generator = mersenne_twister;

# perk is the inverse temperature used in tempered MCMC
perk_scale = array {0.1, 0.5, 0.9, 1};

bayesian_network = true;
# dynamic_bayesian_network = true;
# autocycle = true;

initial_adjacency = matrix {empty};

hyper_pB = matrix {equanimous};

edge_count_prior = 1;

save_chain = true;
n_saved_adjacency = 10;
save_best_graph = true;  
save_edge_probabilies = true;

likelihood = normal_gamma;

nData = 4;

data = matrix {
NA,  1.2, 1.4, 1.35,
2.1, NA,  2.5, 2.45,
3.4, 3.6, NA,  3.85};

# End.
