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
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Last month downloads


Type Package
Date 2016-11-21
License GPL (>= 2)
LinkingTo Rcpp, RcppArmadillo
NeedsCompilation yes
Packaged 2016-11-22 19:34:42 UTC; a458057
Repository CRAN
Date/Publication 2016-11-23 01:29:18

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