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FBFsearch (version 1.3)

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

Description

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

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Version

Install

install.packages('FBFsearch')

Monthly Downloads

197

Version

1.3

License

GPL (>= 2)

Maintainer

Davide Altomare

Last Published

October 26th, 2025

Functions in FBFsearch (1.3)

dataHuman

Cell signalling pathway data
FBF_RS

Moment Fractional Bayes Factor Stochastic Search for Regression Models
dataSimHuman

Simulated cell signalling pathway data
dataSim100

DAG model with 100 nodes and 100 edges
dataSim200

DAG model with 200 nodes and 100 edges
dataPub

Publishing productivity data
FBF_GS

Moment Fractional Bayes Factor Stochastic Search with Global Prior for Gaussian DAG Models
dataSim6

DAG model with 6 nodes and 5 edges
dataSim50

DAG model with 50 nodes and 100 edges
FBF_LS

Moment Fractional Bayes Factor Stochastic Search with Local Prior for DAG Models