bnstruct specifications
Information
Unique identifier | OMICS_14364 |
---|---|
Name | bnstruct |
Alternative name | Bayesian Network Structure Learning from Data with Missing Values |
Software type | Package/Module |
Interface | Command line interface |
Restrictions to use | None |
Operating system | Unix/Linux, Mac OS, Windows |
Programming languages | C, R |
License | GNU General Public License version 3.0 |
Computer skills | Advanced |
Version | 1.0.4 |
Stability | Stable |
Requirements |
methods, R(≥2.10), Matrix, testthat, knitr, graph, Rgraphviz, igraph, bitops, qgraph
|
Maintained | Yes |
Versioning
No version available
Documentation
Maintainer
- person_outline Francesco Sambo
Publication for Bayesian Network Structure Learning from Data with Missing Values
Bnstruct: an R package for Bayesian Network structure learning in the presence of missing data.
bnstruct citation
Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes
[…] …).One interesting model for T2DM detection, which is not based on the aforementioned regressions, is the MOSAIC model [], which is open source and available for research (https://github.com/sambofra/bnstruct (last accessed 15 December 2017)). This model is based on a Bayesian network to impute unknown parameters. The MOSAIC model was built to be applicable in different contexts, and the performan […]
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