Package: FBFsearch 1.2

Davide Altomare

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.

Authors:Davide Altomare, Guido Consonni and Luca La Rocca

FBFsearch_1.2.tar.gz
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FBFsearch.pdf |FBFsearch.html
FBFsearch/json (API)

# Install 'FBFsearch' in R:
install.packages('FBFsearch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • 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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 207 downloads 3 exports 2 dependencies

Last updated 2 years agofrom:845a8ba6ab. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024

Exports:FBF_GSFBF_LSFBF_RS

Dependencies:RcppRcppArmadillo