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WinBUGS
- Referenced in 699 articles
[sw04492]
- BUGS project, which aims to make practical MCMC methods available to applied statisticians. WinBUGS...
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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 C-library...
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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...
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BUGS
- Referenced in 358 articles
[sw07885]
- statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...
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spBayes
- Referenced in 325 articles
[sw10160]
- involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific...
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JAGS
- Referenced in 200 articles
[sw08040]
- hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS...
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Stan
- Referenced in 174 articles
[sw10200]
- language implementing full Bayesian statistical inference with MCMC sampling (NUTS, HMC) and penalized maximum likelihood...
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MLwiN
- Referenced in 103 articles
[sw04837]
- likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based on an earlier...
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boa
- Referenced in 90 articles
[sw04493]
- Bayesian Output Analysis Program (BOA) for MCMC. A menu-driven program and library of functions...
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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...
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OpenBUGS
- Referenced in 71 articles
[sw08316]
- expert system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based...
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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...
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BayesTree
- Referenced in 58 articles
[sw07995]
- accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively...
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MrBayes
- Referenced in 49 articles
[sw07715]
- models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution...
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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...
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BEAST
- Referenced in 44 articles
[sw12588]
- BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space, so that...
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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...
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MCMCglmm
- Referenced in 29 articles
[sw08302]
- package MCMCglmm: MCMC Generalised Linear Mixed Models. MCMC Generalised Linear Mixed Models...
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BRugs
- Referenced in 22 articles
[sw08183]
- BRugs: R interface to the OpenBUGS MCMC software. Fully-interactive R interface to the OpenBUGS ... software for Bayesian analysis using MCMC sampling. Runs natively and stably...
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Rtwalk
- Referenced in 22 articles
[sw14215]
- Implementation of the ’t-walk’ MCMC Algorithm. The ’t-walk’ is a general-purpose MCMC...