Sampler: Sampling from the Bayesian network
In Yam76/BayesNetBP: Bayesian Network Belief Propagation

Sampling from the joint distribution of all applicable nodes in the Bayesian network.

1	Sampler(tree, n)

`tree`	a `ClusterTree` object
`n`	a `integer` number of observations to generate

a dataframe of generated data

Han Yu

Cowell, R. G. (2005). Local propagation in conditional Gaussian Bayesian networks. Journal of Machine Learning Research, 6(Sep), 1517-1550.

1 2	data(toytree) Sampler(tree = toytree, n = 10)

Yam76/BayesNetBP documentation built on Aug. 23, 2019, 1:23 a.m.

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