Bayesian Mixture Models with JAGS
Bayesian Network Structure Learning from Data with Missing Values
Bayesian Output Analysis Program (BOA) for MCMC
Interface to the 'OpenBUGS' MCMC Software
Output Analysis and Diagnostics for MCMC
Data Cloning and MCMC Tools for Maximum Likelihood Methods
Learning Bayesian Networks with Mixed Variables
Functions for Visualising Simple Graphs (Networks), Plotting Flow Diag...
Graph/Network Visualization
Fit, Simulate and Diagnose Exponential-Family Models for Networks
Algorithm for Searching the Space of Gaussian Directed Acyclic Graph M...
Modeling and Inferring Gene Networks
Methods for Graphical Models and Causal Inference
Graphical Markov Models with Mixed Graphs
Graphical Independence Networks
Inference in Graphical Gaussian Models with Edge and Vertex Symmetries
High-Dimensional Undirected Graph Estimation
Network Analysis and Visualization
Latent Variable Network Modeling
Estimating Time-Varying k-Order Mixed Graphical Models
Feature Selection (Including Multiple Solutions) and Bayesian Networks
Classes for Relational Data
Bayesian Network Learning with the PCHC and Related Algorithms
Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS'
Bayesian Graphical Models using MCMC
Tools for Social Network Analysis
Graph Plotting Methods, Psychometric Data Visualization and Graphical ...
Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Identifiability of Linear Structural Equation Models
Learning Graphs from Data via Spectral Constraints
Running OpenBUGS from R
Learning Discrete Bayesian Network Classifiers from Data
Dynamic Extensions for Network Objects
A Package for Graphical Modelling in R
Modelling Multivariate Data with Additive Bayesian Networks
Extracts the Backbone from Graphs
Bayesian Network Structure Learning, Parameter Learning and Inference
Network Dynamic Temporal Visualizations
Graphical Interaction Models