Graphical Models - CRAN Task View

bayesmix

Bayesian Mixture Models with JAGS

Version 0.7-6

bnstruct

Bayesian Network Structure Learning from Data with Missing Values

Version 1.0.15

boa

Bayesian Output Analysis Program (BOA) for MCMC

Version 1.1.8-2

coda

Output Analysis and Diagnostics for MCMC

Version 0.19-4.1

GeneNet

Modeling and Inferring Gene Networks

Version 1.2.17

deal

Learning Bayesian Networks with Mixed Variables

Version 1.2-42

DiagrammeR

Graph/Network Visualization

Version 1.0.11

FBFsearch

Algorithm for Searching the Space of Gaussian Directed Acyclic Graph M...

Version 1.2

pcalg

Methods for Graphical Models and Causal Inference

Version 2.7-12

huge

High-Dimensional Undirected Graph Estimation

Version 1.3.5

lvnet

Latent Variable Network Modeling

Version 0.3.5

mgm

Estimating Time-Varying k-Order Mixed Graphical Models

Version 1.2-15

R2WinBUGS

Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS'

Version 2.1-23

rjags

Bayesian Graphical Models using MCMC

Version 4-17

SEMID

Identifiability of Linear Structural Equation Models

Version 0.4.1

R2OpenBUGS

Running OpenBUGS from R

Version 3.2-4

ggm

Graphical Markov Models with Mixed Graphs

Version 2.5.2

gips

Gaussian Model Invariant by Permutation Symmetry

Version 1.2.3

dclone

Data Cloning and MCMC Tools for Maximum Likelihood Methods

Version 2.3-3

gRbase

A Package for Graphical Modelling in R

Version 2.0.3

jewel

Graphical Models Estimation from Multiple Sources

Version 2.0.2

bnlearn

Bayesian Network Structure Learning, Parameter Learning and Inference

Version 5.1

gRain

Bayesian Networks

Version 1.4.5

gRim

Graphical Interaction Models

Version 0.3.4

gRc

Inference in Graphical Gaussian Models with Edge and Vertex Symmetries

Version 0.5.1

pchc

Bayesian Network Learning with the PCHC and Related Algorithms

Version 1.3

abn

Modelling Multivariate Data with Additive Bayesian Networks

Version 3.1.9

BDgraph

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

Version 2.74