toytree

This is a synthetic dataset with five discrete and four continuouos
variables. The local models of this dataset were randomly generated.
Specifically, the coefficients of linear models were generated from N(0,1),
the variances of the error terms from chi-square(1), and the conditional 
probabilities for discrete factors generated from uniform(0,1) followed by 
normalization. The data set contains a propagated <code>clustertree</code> object, 
which is ready for evidence absorption and making queries.

Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks <http://www.jmlr.org/papers/volume6/cowell05a/>.

Han Yu

BayesNetBP

Bayesian Network Belief Propagation

toytree function

The data set contains a propagated <code>clustertree</code> object <code>toytree</code>, 
which is ready for evidence absorption and making queries.

toytree: A synthetic toy dataset

Description

Usage

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