bnlearn - Examples

Creating Bayesian network structures
1. Creating an empty network
2. Creating a network structure
  1. with a specific arc set
  2. with a specific adjacency matrix
  3. with a specific model formula
3. Creating one or more random network structures
Comparing Bayesian networks according to their respective scores
1. Computing a network score
2. Testing score equivalence
Conditional independence tests
1. Parametric tests
2. Monte Carlo permutation tests
Fitting Bayesian network's parameters
1. Learning the network structure
2. Setting the direction of undirected arcs
3. Fitting the parameters (Maximum Likelihood estimates)
  1. Discrete data
  2. Continuous data
4. Fitting the parameters (Bayesian Posterior estimates)
  1. Discrete data
Bootstrap-based inference
1. Measuring arc strength
2. Measuring arc strength and confidence in direction
3. The general case
Bayesian networks and cross-validation
1. Choosing a Bayesian network learning strategy
2. Comparing different network structures