• CODA

  • Referenced in 345 articles [sw04290]
  • MCMC , Output analysis and diagnostics for Markov Chain Monte Carlo simulations. Provides functions for summarizing ... plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests ... equilibrium distribution of the Markov chain...
  • BUGS

  • Referenced in 378 articles [sw07885]
  • analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...
  • spBayes

  • Referenced in 365 articles [sw10160]
  • fitting such models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends...
  • GMRFLib

  • Referenced in 309 articles [sw06641]
  • statistical inference is only possible using Markov Chain Monte Carlo (MCMC) techniques. The preeminent experts...
  • JAGS

  • Referenced in 247 articles [sw08040]
  • analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike...
  • MLwiN

  • Referenced in 105 articles [sw04837]
  • uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based...
  • boa

  • Referenced in 91 articles [sw04493]
  • statistical and graphical analysis of Markov chain Monte Carlo sampling output...
  • Gibbsit

  • Referenced in 89 articles [sw25318]
  • achieve a specified accuracy level in Markov chain Monte Carlo. An S translation...
  • R-INLA

  • Referenced in 86 articles [sw08014]
  • compared with that obtained by Markov chain Monte Carlo, showing similar accuracy with only...
  • RStan

  • Referenced in 85 articles [sw13990]
  • implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via variational...
  • OpenBUGS

  • Referenced in 80 articles [sw08316]
  • system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based on the Gibbs...
  • rjags

  • Referenced in 65 articles [sw08039]
  • Bayesian data analysis. JAGS uses Markov Chain Monte Carlo (MCMC) to generate a sequence...
  • Mcmcpack

  • Referenced in 62 articles [sw07974]
  • MCMCpack: Markov chain Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference...
  • MrBayes

  • Referenced in 60 articles [sw07715]
  • phylogenetic and evolutionary models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate...
  • emcee

  • Referenced in 57 articles [sw20217]
  • affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare...
  • BEAST

  • Referenced in 53 articles [sw12588]
  • single tree topology. BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree...
  • PyMC

  • Referenced in 51 articles [sw10482]
  • statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make...
  • MultiNest

  • Referenced in 50 articles [sw10481]
  • Hobson, which itself significantly outperformed existing Markov chain Monte Carlo techniques in a wide range...
  • rstan

  • Referenced in 42 articles [sw16103]
  • implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via variational...
  • SSS

  • Referenced in 34 articles [sw07794]
  • which standard approaches such as Markov chain Monte Carlo (MCMC) methods are often infeasible...