Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package

Software for learning sparse Bayesian networks

Risk Network Modeling and Analysis

Learning Discrete Bayesian Network Classifiers from Data

R package for inference in Bayesian networks.

dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting

Inference in Bayesian Networks with R

bnviewer - An R package for Interactive Visualization of Bayesian Networks

Weather Generators with Bayesian Networks

Network-based clustering

Gaussian Mixture Graphical Model Learning and Inference

This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"

📊 Introduction to Bayesian Networks.

Repository of the research paper - Exploring the role of ecology and social organisation in agropastoral societies: A Bayesian network approach

Utilities for learning sparse Bayesian networks

🗡️2023/24 Früh­jahrs­se­mes­ter Statistical Models in Computational Biology @ ETHz

This is a script that generates a Bayesian Network from a dataset

This repository contains the raw data and R scripts for "Quantification of an Adverse Outcome Pathway network by Bayesian regression and Bayesian network modeling" by Moe et al. 2020, Integr Environ Assess Manag, doi:10.1002/ieam.4348.

Constructing a Bayesian network to capture the dependencies and independencies among variables as well as to predict wine quality

An open source software package written in R statistical languaje. It implements the complete GENis functionality, a recently published open-source multi-tier information system developed to run forensic DNA databases to perform kinship analysis based on DNA profiles.