# FBFsearch v1.1

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## Algorithm for Searching the Space of Gaussian Directed Acyclic Graph Models Through Moment Fractional Bayes Factors

We propose an objective Bayesian algorithm for searching the space of Gaussian directed acyclic graph (DAG) models. The algorithm proposed makes use of moment fractional Bayes factors (MFBF) and thus it is suitable for learning sparse graph. The algorithm is implemented by using Armadillo: an open-source C++ linear algebra library.

## Functions in FBFsearch

 Name Description dataHuman Cell signalling pathway data dataPub Publishing productivity data dataSim100 DAG model with 100 nodes and 100 edges dataSim200 DAG model with 200 nodes and 100 edges dataSim50 DAG model with 50 nodes and 100 edges dataSim6 DAG model with 6 nodes and 5 edges dataSimHuman Simulated cell signalling pathway data FBF_GS Moment Fractional Bayes Factor Stochastic Search with Global Prior for Gaussian DAG Models FBF_LS Moment Fractional Bayes Factor Stochastic Search with Local Prior for DAG Models FBF_RS Moment Fractional Bayes Factor Stochastic Search for Regression Models No Results!