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