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

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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.

Author
Davide Altomare, Guido Consonni and Luca La Rocca
Date of publication
2016-11-23 01:29:18
Maintainer
Davide Altomare <davide.altomare@gmail.com>
License
GPL (>= 2)
Version
1.1

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Man pages

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...
FBF_LS
Moment Fractional Bayes Factor Stochastic Search with Local...
FBF_RS
Moment Fractional Bayes Factor Stochastic Search for...

Files in this package

FBFsearch
FBFsearch/src
FBFsearch/src/Makevars
FBFsearch/src/FBFsearch.cpp
FBFsearch/src/Makevars.win
FBFsearch/src/FBFsearch_H.h
FBFsearch/NAMESPACE
FBFsearch/data
FBFsearch/data/SimDag100.rda
FBFsearch/data/SimDag50.rda
FBFsearch/data/SimHumanPw.rda
FBFsearch/data/PubProd.rda
FBFsearch/data/SimDag6.rda
FBFsearch/data/SimDag200.rda
FBFsearch/data/datalist
FBFsearch/data/HumanPw.rda
FBFsearch/R
FBFsearch/R/FBFsearch.R
FBFsearch/MD5
FBFsearch/DESCRIPTION
FBFsearch/man
FBFsearch/man/dataSim6.Rd
FBFsearch/man/FBF_RS.Rd
FBFsearch/man/dataPub.Rd
FBFsearch/man/FBF_LS.Rd
FBFsearch/man/dataSimHuman.Rd
FBFsearch/man/dataSim50.Rd
FBFsearch/man/dataSim200.Rd
FBFsearch/man/dataSim100.Rd
FBFsearch/man/dataHuman.Rd
FBFsearch/man/FBF_GS.Rd