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

Software for learning sparse Bayesian networks

Risk Network Modeling and Analysis

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

Weather Generators with Bayesian Networks

bnviewer - An R package for Interactive Visualization of Bayesian Networks

Gaussian Mixture Graphical Model Learning and Inference

Network-based clustering

📊 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

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"

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.

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

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

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

Four practical applications: 50% of the overall grade, all weigh equal (12.50% out of 100%). The mark in each has to be greater or equal to 4 (out of 10) to pass this compulsory part.

A university project about the K2 algorithm, coded in R.