Package: FBFsearch 1.3

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 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.

Authors:Davide Altomare [aut, cre], Guido Consonni [aut], Luca La Rocca [aut]

FBFsearch_1.3.tar.gz
FBFsearch_1.3.tar.gz(r-4.7-arm64)FBFsearch_1.3.tar.gz(r-4.7-x86_64)FBFsearch_1.3.tar.gz(r-4.6-arm64)FBFsearch_1.3.tar.gz(r-4.6-x86_64)
FBFsearch_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
FBFsearch/json (API)

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

On CRAN:

Conda:

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

openblascpp

1.00 score 3 scripts 249 downloads 3 exports 2 dependencies

Last updated from:2506dbd7d8. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK107
linux-devel-x86_64OK109
source / vignettesOK144
linux-release-arm64OK106
linux-release-x86_64OK111
wasm-releaseOK105

Exports:FBF_GSFBF_LSFBF_RS

Dependencies:RcppRcppArmadillo