
WinBUGS
 Referenced in 699 articles
[sw04492]
 BUGS project, which aims to make practical MCMC methods available to applied statisticians. WinBUGS...

GMRFLib
 Referenced in 282 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...

CODA
 Referenced in 281 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...

BUGS
 Referenced in 358 articles
[sw07885]
 statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

spBayes
 Referenced in 325 articles
[sw10160]
 involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific...

JAGS
 Referenced in 200 articles
[sw08040]
 hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS...

Stan
 Referenced in 174 articles
[sw10200]
 language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood...

MLwiN
 Referenced in 103 articles
[sw04837]
 likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier...

boa
 Referenced in 90 articles
[sw04493]
 Bayesian Output Analysis Program (BOA) for MCMC. A menudriven program and library of functions...

rjags
 Referenced in 47 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 71 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 58 articles
[sw07995]
 accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively...

MrBayes
 Referenced in 49 articles
[sw07715]
 models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution...

emcee
 Referenced in 29 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 44 articles
[sw12588]
 BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space, so that...

SSS
 Referenced in 30 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 29 articles
[sw08302]
 package MCMCglmm: MCMC Generalised Linear Mixed Models. MCMC Generalised Linear Mixed Models...

BRugs
 Referenced in 22 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 22 articles
[sw14215]
 Implementation of the ’twalk’ MCMC Algorithm. The ’twalk’ is a generalpurpose MCMC...