
WinBUGS
 Referenced in 446 articles
[sw04492]
 BUGS project, which aims to make practical MCMC methods available to applied statisticians. WinBUGS...

GMRFLib
 Referenced in 190 articles
[sw06641]
 only possible using Markov Chain Monte Carlo (MCMC) techniques. The preeminent experts in the field ... aspects, construct fast and reliable algorithms for MCMC inference, and provide an online Clibrary...

BUGS
 Referenced in 238 articles
[sw07885]
 statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

spBayes
 Referenced in 202 articles
[sw10160]
 involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific...

CODA
 Referenced in 123 articles
[sw04290]
 package coda: Output analysis and diagnostics for MCMC , Output analysis and diagnostics for Markov Chain ... output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence...

JAGS
 Referenced in 73 articles
[sw08040]
 hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS...

MLwiN
 Referenced in 72 articles
[sw04837]
 likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier...

OpenBUGS
 Referenced in 46 articles
[sw08316]
 expert system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based...

Stan
 Referenced in 42 articles
[sw10200]
 language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood...

BayesTree
 Referenced in 39 articles
[sw07995]
 accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively...

rjags
 Referenced in 19 articles
[sw08039]
 rjags: Bayesian graphical models using MCMC. Interface to the JAGS MCMC library. The rjags package ... analysis. JAGS uses Markov Chain Monte Carlo (MCMC) to generate a sequence of dependent samples...

SSS
 Referenced in 20 articles
[sw07794]
 approaches such as Markov chain Monte Carlo (MCMC) methods are often infeasible or ineffective ... from gene expression cancer genomics, comparisons with MCMC and other methods, and theoretical and simulation...

Mcmcpack
 Referenced in 18 articles
[sw07974]
 MCMCpack: Markov chain Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference ... Library Version 1.0.3. All models return coda mcmc objects that can then be summarized using...

BEAST
 Referenced in 23 articles
[sw12588]
 BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space, so that...

BRugs
 Referenced in 15 articles
[sw08183]
 BRugs: R interface to the OpenBUGS MCMC software. Fullyinteractive R interface to the OpenBUGS ... software for Bayesian analysis using MCMC sampling. Runs natively and stably...

Rtwalk
 Referenced in 13 articles
[sw14215]
 Implementation of the ’twalk’ MCMC Algorithm. The ’twalk’ is a generalpurpose MCMC...

glmmAK
 Referenced in 15 articles
[sw13218]
 linear model). Secondly, Bayesian estimation based on MCMC in the logistic and Poisson regression model...

R2jags
 Referenced in 8 articles
[sw11796]
 major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics ... automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC...

CosmoMC
 Referenced in 13 articles
[sw16206]
 Fortran 2008 MarkovChain MonteCarlo (MCMC) engine for exploring cosmological parameter space, together with...

blasso
 Referenced in 9 articles
[sw06769]
 easily achieved using Markov chain Monte Carlo (MCMC) methods. Uncertainty about model specification is addressed ... approaches are described. Software for implementing the MCMC methods described in this article, written...