Sampler {BayesNetBP} | R Documentation |
Sampling from the Bayesian network
Description
Sampling from the joint distribution of all applicable nodes in the Bayesian network.
Usage
Sampler(tree, n)
Arguments
tree |
a |
n |
a |
Value
a dataframe
of generated data
Author(s)
Han Yu
References
Cowell, R. G. (2005). Local propagation in conditional Gaussian Bayesian networks.
Journal of Machine Learning Research, 6(Sep), 1517-1550.
Yu H, Moharil J, Blair RH (2020). BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian
Networks. Journal of Statistical Software, 94(3), 1-31. <doi:10.18637/jss.v094.i03>.
Examples
data(toytree)
Sampler(tree = toytree, n = 10)
[Package BayesNetBP version 1.6.1 Index]