
WinBUGS
 Referenced in 723 articles
[sw04492]
 BUGS project, which aims to make practical MCMC methods available to applied statisticians. WinBUGS...

CODA
 Referenced in 294 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...

GMRFLib
 Referenced in 286 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 364 articles
[sw07885]
 statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

spBayes
 Referenced in 330 articles
[sw10160]
 involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific...

JAGS
 Referenced in 209 articles
[sw08040]
 hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS...

Stan
 Referenced in 189 articles
[sw10200]
 language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood...

MLwiN
 Referenced in 104 articles
[sw04837]
 likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier...

boa
 Referenced in 91 articles
[sw04493]
 Bayesian Output Analysis Program (BOA) for MCMC. A menudriven program and library of functions...

rjags
 Referenced in 50 articles
[sw08039]
 package rjags: Bayesian graphical models using MCMC. Interface to the JAGS MCMC library. The rjags ... analysis. JAGS uses Markov Chain Monte Carlo (MCMC) to generate a sequence of dependent samples...

OpenBUGS
 Referenced in 74 articles
[sw08316]
 expert system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based...

Mcmcpack
 Referenced in 49 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...

BayesTree
 Referenced in 59 articles
[sw07995]
 accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively...

MrBayes
 Referenced in 55 articles
[sw07715]
 models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution...

emcee
 Referenced in 30 articles
[sw20217]
 emcee: The MCMC Hammer. We introduce a stable, well tested Python implementation of the affine ... ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code ... behind emcee has several advantages over traditional MCMC sampling methods and it has excellent performance...

BEAST
 Referenced in 47 articles
[sw12588]
 BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space, so that...

SSS
 Referenced in 31 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...

MCMCglmm
 Referenced in 30 articles
[sw08302]
 package MCMCglmm: MCMC Generalised Linear Mixed Models. MCMC Generalised Linear Mixed Models...

BRugs
 Referenced in 23 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 23 articles
[sw14215]
 Implementation of the ’twalk’ MCMC Algorithm. The ’twalk’ is a generalpurpose MCMC...