
WinBUGS
 Referenced in 507 articles
[sw04492]
 BUGS project, which aims to make practical MCMC methods available to applied statisticians. WinBUGS...

GMRFLib
 Referenced in 205 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 271 articles
[sw07885]
 statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

CODA
 Referenced in 170 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...

spBayes
 Referenced in 223 articles
[sw10160]
 involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific...

JAGS
 Referenced in 105 articles
[sw08040]
 hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS...

MLwiN
 Referenced in 80 articles
[sw04837]
 likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier...

Stan
 Referenced in 67 articles
[sw10200]
 language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood...

OpenBUGS
 Referenced in 55 articles
[sw08316]
 expert system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based...

Mcmcpack
 Referenced in 33 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...

rjags
 Referenced in 28 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...

BayesTree
 Referenced in 45 articles
[sw07995]
 accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively...

SSS
 Referenced in 22 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...

BRugs
 Referenced in 18 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...

MrBayes
 Referenced in 25 articles
[sw07715]
 models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution...

BEAST
 Referenced in 24 articles
[sw12588]
 BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space, so that...

MCMCglmm
 Referenced in 17 articles
[sw08302]
 package MCMCglmm: MCMC Generalised Linear Mixed Models. MCMC Generalised Linear Mixed Models...

Rtwalk
 Referenced in 15 articles
[sw14215]
 Implementation of the ’twalk’ MCMC Algorithm. The ’twalk’ is a generalpurpose MCMC...

spam
 Referenced in 19 articles
[sw07965]
 simple structure(s), (3) tailored for MCMC calculations within GMRF. (4) S3 and S4 like...

R2jags
 Referenced in 11 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...