Data Simulation2 months ago
Fit a model to the original data | Simulate new data | Compare the original and simulated data
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Parallelisation3 months ago
Introduction | FORK vs. PSOCK | Parallelisation in the abn package | Load the data and specify the parameters | Benchmarking
Parameter Learning2 years ago
Background | Fitting an ABN model | Examine the parameter estimates | Examine the marginal posterior densities
Bayesian Network Structure Learning2 years ago
Structure Learning of Bayesian Networks | References
Mixed-effect Bayesian Network Model2 years ago
Introduction | Ground truth data | Additive Bayesian Network Model fitting | Comparison with the results of the lme4 package
Model Specification: Build a Cache of Scores2 years ago
Background | Estimate the maximum number of parent nodes | Include prior domain knowledge
Quick Start Example2 years ago
Find the best fitting graphical structure using an exact search algorithm | Basic workflow with the abn package | Model specification | Load the example dataset ex1.dag.data | Set up distribution list for each node | Set the parent limits node-wise | Build the score cache | Structure learning | Plot the best fitting graphical structure | Estimate the parameters of the network | Simulate data from the fitted model
