BBNet: simple predictive models on Bayesian belief networks
BBNet: simple predictive models on Bayesian belief networks
The BBNet R package provides a comprehensive suite of tools for building, visualising, and analysing Bayesian Belief Networks.
It aims to facilitate decision-making by enabling users to model complex processes and infer probabilities of various outcomes. The package is designed to be user-friendly, making advanced probabilistic modelling techniques accessible to ecology and environmental researchers and practitioners.
R, Bayesian belief networks
Dominguez Almela, Vicky
c46c331c-e5ba-4da9-8f58-207a4999e02e
Stafford, Rick
7e3b3130-ecd5-4292-8f56-e907a08784af
13 May 2024
Dominguez Almela, Vicky
c46c331c-e5ba-4da9-8f58-207a4999e02e
Stafford, Rick
7e3b3130-ecd5-4292-8f56-e907a08784af
Abstract
The BBNet R package provides a comprehensive suite of tools for building, visualising, and analysing Bayesian Belief Networks.
It aims to facilitate decision-making by enabling users to model complex processes and infer probabilities of various outcomes. The package is designed to be user-friendly, making advanced probabilistic modelling techniques accessible to ecology and environmental researchers and practitioners.
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Published date: 13 May 2024
Keywords:
R, Bayesian belief networks
Identifiers
Local EPrints ID: 490390
URI: http://eprints.soton.ac.uk/id/eprint/490390
PURE UUID: 32778027-e6f5-40b9-807f-428ff24b53b2
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Date deposited: 24 May 2024 16:39
Last modified: 25 Jun 2024 02:03
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Author:
Rick Stafford
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