FBFsearch: 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.

AuthorDavide Altomare, Guido Consonni and Luca La Rocca
Date of publication2016-11-23 01:29:18
MaintainerDavide Altomare <davide.altomare@gmail.com>
LicenseGPL (>= 2)
Version1.1

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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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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