Package: FBFsearch 1.2
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:
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://davidealtomare.r-universe.dev', 'https://cloud.r-project.org')) |
- 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.
Last updated 2 years agofrom:845a8ba6ab. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win-x86_64 | OK | Nov 11 2024 |
| R-4.5-linux-x86_64 | OK | Nov 11 2024 |
| R-4.4-win-x86_64 | OK | Nov 11 2024 |
| R-4.4-mac-x86_64 | OK | Nov 11 2024 |
| R-4.4-mac-aarch64 | OK | Nov 11 2024 |
| R-4.3-win-x86_64 | OK | Nov 11 2024 |
| R-4.3-mac-x86_64 | OK | Nov 11 2024 |
| R-4.3-mac-aarch64 | OK | Nov 11 2024 |
Dependencies:RcppRcppArmadillo
