r-abn
Modelling multivariate data with additive bayesian networks
Bayesian network analysis is a form of probabilistic graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a generalized linear model (GLM). Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modelling, they generalises the usual multivariable regression, GLM, to multiple dependent variables. This package provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data.
- Versions: 3.1.1
- Website: https://r-bayesian-networks.org/
- Licenses: GPL 2+
- Package source: gnu/packages/bioconductor.scm
- Builds: See build status
- Issues: See known issues
Installation
Install the latest version of r-abn as follows:
guix install r-abn
Or install a particular version:
guix install r-abn@3.1.1
You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.
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