
BUGS
 Referenced in 365 articles
[sw07885]
 complex statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

CODA
 Referenced in 299 articles
[sw04290]
 diagnostics for MCMC , Output analysis and diagnostics for Markov Chain Monte Carlo simulations. Provides functions ... plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests ... equilibrium distribution of the Markov chain...

spBayes
 Referenced in 339 articles
[sw10160]
 such models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon...

GMRFLib
 Referenced in 295 articles
[sw06641]
 inference is only possible using Markov Chain Monte Carlo (MCMC) techniques. The preeminent experts...

JAGS
 Referenced in 214 articles
[sw08040]
 Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS...

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

OpenBUGS
 Referenced in 75 articles
[sw08316]
 system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based on the Gibbs...

MrBayes
 Referenced in 58 articles
[sw07715]
 evolutionary models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution...

rjags
 Referenced in 50 articles
[sw08039]
 models using MCMC. Interface to the JAGS MCMC library. The rjags package provides an interface ... Bayesian data analysis. JAGS uses Markov Chain Monte Carlo (MCMC) to generate a sequence...

Mcmcpack
 Referenced in 50 articles
[sw07974]
 MCMCpack: Markov chain Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference...

BEAST
 Referenced in 48 articles
[sw12588]
 tree topology. BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space...

emcee
 Referenced in 34 articles
[sw20217]
 emcee: The MCMC Hammer. We introduce a stable, well tested Python implementation ... affineinvariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare...

SSS
 Referenced in 31 articles
[sw07794]
 which standard approaches such as Markov chain Monte Carlo (MCMC) methods are often infeasible...

boa
 Referenced in 91 articles
[sw04493]
 Bayesian Output Analysis Program (BOA) for MCMC. A menudriven program and library of functions ... statistical and graphical analysis of Markov chain Monte Carlo sampling output...

mcmcse
 Referenced in 20 articles
[sw08171]
 Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation...

stochvol
 Referenced in 17 articles
[sw19383]
 stochastic volatility (SV) models via Markov chain Monte Carlo (MCMC) methods...

mcmc
 Referenced in 12 articles
[sw14648]
 package. mcmc: Markov Chain Monte Carlo. Simulates continuous distributions of random vectors using Markov chain...

AMCMC
 Referenced in 15 articles
[sw01123]
 function, by performing an adaptive Markov chain Monte Carlo (MCMC) algorithm, specifically adaptive Metropoliswithin...

BGX
 Referenced in 15 articles
[sw06935]
 package employs a novel adaptive Markov chain Monte Carlo (MCMC) algorithm that raises considerably...

blasso
 Referenced in 13 articles
[sw06769]
 inference is easily achieved using Markov chain Monte Carlo (MCMC) methods. Uncertainty about model specification...