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.

Install the latest version of this package by entering the following in R:
install.packages("FBFsearch")
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

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

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