Description Usage Arguments Value Examples
Generates a random dynamic Bayesian network
1 | dbn_generator(n_c_vars, n_d_vars, n_s)
|
n_c_vars |
the number of Gaussian variables |
n_d_vars |
the number of discrete variables |
n_s |
the number of states of the discrete variables |
a Java object of class DynamicBayesianNetwork
1 2 | d <- dbn_generator(3,2,2)
print_amidst_bn(d)
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