
ggm
 Referenced in 19 articles
[sw04542]
 package ggm: A package for Graphical Markov Models. Functions for analyzing and fitting Graphical Markov...

GMRFLib
 Referenced in 309 articles
[sw06641]
 image analysis are familiar with Gaussian Markov Random Fields (GMRFs), and they are traditionally among ... longitudinal and survival data, spatiotemporal models, graphical models, and semiparametric statistics. With ... comprehensive reference on the subject.par Gaussian Markov Random Fields: Theory and Applications provides such...

MLwiN
 Referenced in 105 articles
[sw04837]
 fitting multilevel models. It uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC ... graphical user interface (as well as other additional features)[1]. MLwiN represents multilevel models using...

PEPA
 Referenced in 117 articles
[sw10692]
 Markov chain or ODE methods or simulation. Performance results are displayed graphically on the platform ... also contains an interface for abstracting PEPA models, and for model checking properties...

rjags
 Referenced in 64 articles
[sw08039]
 package rjags: Bayesian graphical models using MCMC. Interface to the JAGS MCMC library. The rjags ... library for Bayesian data analysis. JAGS uses Markov Chain Monte Carlo (MCMC) to generate...

ToulBar2
 Referenced in 22 articles
[sw07289]
 source software for Graphical Models such as Cost Function Networks, Markov Random Fields, Weighted Constraint...

LibDAI
 Referenced in 15 articles
[sw06422]
 supports directed graphical models (Bayesian networks) as well as undirected ones (Markov random fields...

BEAST
 Referenced in 53 articles
[sw12588]
 phylogenies using strict or relaxed molecular clock models. It can be used as a method ... single tree topology. BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree ... posterior probability. BEAST 2 includes a graphical userinterface for setting up standard analyses...

BDgraph
 Referenced in 14 articles
[sw14815]
 framework for Gaussian graphical model determination which is a transdimensional Markov Chain Monte Carlo...

glmie
 Referenced in 2 articles
[sw13249]
 inference in fullyconnected undirected graphical models or Markov random fields with Gaussian...

DAOOPT
 Referenced in 3 articles
[sw21189]
 product) queries over graphical models like Bayes and Markov networks. Also implements the following: full...

bnsoft
 Referenced in 7 articles
[sw08127]
 algorithms.There are many diﬀerent kinds of graphical models, but the two most popular ones ... networks”) and on undirected graphs (also called “Markov random ﬁelds”). In this article, we review ... recent software packages for dealing with graphical models. A more extensive comparison can be found...

Grapham
 Referenced in 5 articles
[sw08541]
 Grapham: graphical models with adaptive random walk Metropolis algorithms. Recently developed adaptive Markov chain Monte ... several such methods, with emphasis on graphical models for directed acyclic graphs. The implemented algorithms...

shinystan
 Referenced in 8 articles
[sw16707]
 package shinystan. A graphical user interface for interactive Markov chain Monte Carlo (MCMC) diagnostics ... language (and has extended functionality for Stan models fit using the rstan and rstanarm packages...

HyPER
 Referenced in 2 articles
[sw23917]
 scalable class of graphical models known as hingeloss Markov random fields. We experimentally evaluate...

ggmcmc
 Referenced in 5 articles
[sw24059]
 convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from ... package also facilitates the graphical interpretation of models by providing flexible functions to plot...

UGM
 Referenced in 2 articles
[sw28257]
 discrete undirected graphical models with pairwise potentials. The last task focuses on Markov random fields...

HMMER
 Referenced in 19 articles
[sw10514]
 feasible to make efficient profile hidden Markov model (profile HMM) searches ... number of matches found, developing graphical summaries of the search results to provide quick, intuitive...

FACTORIE
 Referenced in 13 articles
[sw08947]
 defined factor graphs. Discriminatively trained undirected graphical models have had wide empirical success, and there ... complex relational data. The power in relational models is in their repeated structure and tied ... imperative language to express various aspects of model structure, inference, and learning. By combining ... typed, functional language. In experimental comparisons to Markov Logic Networks on joint segmentation and coreference...

Visual DSD
 Referenced in 10 articles
[sw35128]
 strand displacement, in a convenient webbased graphical interface. It is an implementation ... continuoustime Markov chains and various export formats which allow models to be analysed using...